From b92b86475f4b62ecc5c3473b0d2e68ba05009b6f Mon Sep 17 00:00:00 2001 From: Pavel Esir Date: Wed, 18 Dec 2024 18:20:23 +0100 Subject: [PATCH] new pass rates --- README.md | 42 +- tests/pass_rates.json | 2 +- tests/stats.json | 8998 ++++++++++++++++++++--------------------- 3 files changed, 4521 insertions(+), 4521 deletions(-) diff --git a/README.md b/README.md index f6ae75da..12892d96 100644 --- a/README.md +++ b/README.md @@ -512,17 +512,17 @@ This report is autogenerated and includes tokenizers and detokenizers tests. The BPE - 97.18 + 96.96 4544 SentencePiece - 89.19 + 87.29 6633 Tiktoken - 96.56 + 97.33 524 @@ -620,7 +620,7 @@ This report is autogenerated and includes tokenizers and detokenizers tests. The BPE laion/CLIP-ViT-bigG-14-laion2B-39B-b160k - 100.00 + 96.17 261 @@ -656,19 +656,19 @@ This report is autogenerated and includes tokenizers and detokenizers tests. The SentencePiece NousResearch/Llama-2-13b-hf - 97.55 + 100.00 245 SentencePiece NousResearch/Llama-2-13b-hf_legacy_sp_backend - 97.55 + 99.18 245 SentencePiece NousResearch/Llama-2-13b-hf_sp_backend - 94.29 + 100.00 245 @@ -698,25 +698,25 @@ This report is autogenerated and includes tokenizers and detokenizers tests. The SentencePiece camembert-base_legacy_sp_backend - 75.51 + 70.61 245 SentencePiece camembert-base_sp_backend - 52.24 + 47.35 245 SentencePiece facebook/musicgen-small_legacy_sp_backend - 78.37 + 73.47 245 SentencePiece facebook/musicgen-small_sp_backend - 83.67 + 78.78 245 @@ -740,13 +740,13 @@ This report is autogenerated and includes tokenizers and detokenizers tests. The SentencePiece microsoft/deberta-v3-base_legacy_sp_backend - 100.00 + 95.10 245 SentencePiece microsoft/deberta-v3-base_sp_backend - 96.73 + 91.84 245 @@ -776,43 +776,43 @@ This report is autogenerated and includes tokenizers and detokenizers tests. The SentencePiece rinna/bilingual-gpt-neox-4b_sp_backend - 80.41 + 77.96 245 SentencePiece t5-base_legacy_sp_backend - 80.00 + 75.10 245 SentencePiece t5-base_sp_backend - 85.31 + 80.41 245 SentencePiece xlm-roberta-base_legacy_sp_backend - 95.10 + 90.20 245 SentencePiece xlm-roberta-base_sp_backend - 95.10 + 90.20 245 SentencePiece xlnet-base-cased_legacy_sp_backend - 57.96 + 53.06 245 SentencePiece xlnet-base-cased_sp_backend - 64.49 + 59.59 245 @@ -824,7 +824,7 @@ This report is autogenerated and includes tokenizers and detokenizers tests. The Tiktoken THUDM/glm-4-9b-chat - 93.16 + 94.68 263 diff --git a/tests/pass_rates.json b/tests/pass_rates.json index 04fab4a3..dd313581 100644 --- a/tests/pass_rates.json +++ b/tests/pass_rates.json @@ -1,3 +1,3 @@ { - "tests/tokenizers_test.py::test_": 0.9297414485305926 + "tests/tokenizers_test.py::test_": 0.9319897221776137 } \ No newline at end of file diff --git a/tests/stats.json b/tests/stats.json index 0572d2da..376e4890 100644 --- a/tests/stats.json +++ b/tests/stats.json @@ -30,7 +30,7 @@ "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-bert-base-multilingual-cased-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-bert-base-multilingual-cased-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-bert-base-multilingual-cased-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-bert-base-multilingual-cased-]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-bert-base-multilingual-cased-1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-bert-base-multilingual-cased-\\x06]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-bert-base-multilingual-cased- ]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-bert-base-multilingual-cased- ]": "passed", @@ -68,7 +68,7 @@ "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-rubert-tiny2-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-rubert-tiny2-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-rubert-tiny2-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-rubert-tiny2-]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-rubert-tiny2-1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-rubert-tiny2-\\x06]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-rubert-tiny2- ]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-rubert-tiny2- ]": "passed", @@ -106,7 +106,7 @@ "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-rubert-tiny2-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-rubert-tiny2-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-rubert-tiny2-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-rubert-tiny2-]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-rubert-tiny2-1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-rubert-tiny2-\\x06]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-rubert-tiny2- ]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-rubert-tiny2- ]": "passed", @@ -144,7 +144,7 @@ "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-bert-base-multilingual-cased-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-bert-base-multilingual-cased-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-bert-base-multilingual-cased-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-bert-base-multilingual-cased-]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-bert-base-multilingual-cased-1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-bert-base-multilingual-cased-\\x06]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-bert-base-multilingual-cased- ]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-bert-base-multilingual-cased- ]": "passed", @@ -182,7 +182,7 @@ "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-distilbert-base-uncased-finetuned-sst-2-english-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-distilbert-base-uncased-finetuned-sst-2-english-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-distilbert-base-uncased-finetuned-sst-2-english-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-distilbert-base-uncased-finetuned-sst-2-english-]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-distilbert-base-uncased-finetuned-sst-2-english-1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-distilbert-base-uncased-finetuned-sst-2-english-\\x06]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-distilbert-base-uncased-finetuned-sst-2-english- ]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-distilbert-base-uncased-finetuned-sst-2-english- ]": "passed", @@ -220,7 +220,7 @@ "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-distilbert-base-uncased-finetuned-sst-2-english-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-distilbert-base-uncased-finetuned-sst-2-english-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-distilbert-base-uncased-finetuned-sst-2-english-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-distilbert-base-uncased-finetuned-sst-2-english-]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-distilbert-base-uncased-finetuned-sst-2-english-1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-distilbert-base-uncased-finetuned-sst-2-english-\\x06]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-distilbert-base-uncased-finetuned-sst-2-english- ]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-distilbert-base-uncased-finetuned-sst-2-english- ]": "passed", @@ -259,7 +259,7 @@ "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-all-MiniLM-L6-v2-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-all-MiniLM-L6-v2-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-all-MiniLM-L6-v2-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-all-MiniLM-L6-v2-]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-all-MiniLM-L6-v2-1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-all-MiniLM-L6-v2-\\x06]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-all-MiniLM-L6-v2- ]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-all-MiniLM-L6-v2- ]": "passed", @@ -297,7 +297,7 @@ "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-all-MiniLM-L6-v2-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-all-MiniLM-L6-v2-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-all-MiniLM-L6-v2-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-all-MiniLM-L6-v2-]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-all-MiniLM-L6-v2-1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-all-MiniLM-L6-v2-\\x06]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-all-MiniLM-L6-v2- ]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-all-MiniLM-L6-v2- ]": "passed", @@ -336,7 +336,7 @@ "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-mobilebert-uncased-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-mobilebert-uncased-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-mobilebert-uncased-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-mobilebert-uncased-]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-mobilebert-uncased-1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-mobilebert-uncased-\\x06]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-mobilebert-uncased- ]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-mobilebert-uncased- ]": "passed", @@ -374,7 +374,7 @@ "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-mobilebert-uncased-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-mobilebert-uncased-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-mobilebert-uncased-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-mobilebert-uncased-]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-mobilebert-uncased-1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-mobilebert-uncased-\\x06]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-mobilebert-uncased- ]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-mobilebert-uncased- ]": "passed", @@ -413,7 +413,7 @@ "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-finbert-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-finbert-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-finbert-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-finbert-]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-finbert-1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-finbert-\\x06]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-finbert- ]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-finbert- ]": "passed", @@ -451,7 +451,7 @@ "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-finbert-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-finbert-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-finbert-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-finbert-]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-finbert-1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-finbert-\\x06]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-finbert- ]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-finbert- ]": "passed", @@ -488,7 +488,7 @@ "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-LaBSE-\\U0001f601\\U0001f601]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-LaBSE-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-LaBSE-\\U0001fae0]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-LaBSE-]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-LaBSE-1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-LaBSE-\\x06]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-LaBSE- ]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[no_add_tokens-LaBSE- ]": "passed", @@ -524,7 +524,7 @@ "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-LaBSE-\\U0001f601\\U0001f601]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-LaBSE-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-LaBSE-\\U0001fae0]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-LaBSE-]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-LaBSE-1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-LaBSE-\\x06]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-LaBSE- ]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-LaBSE- ]": "passed", @@ -540,30 +540,14 @@ "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-bert-base-multilingual-cased-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-bert-base-multilingual-cased-left_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-bert-base-multilingual-cased-left_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-bert-base-multilingual-cased-left_pad-test_string0]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-bert-base-multilingual-cased-left_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-bert-base-multilingual-cased-left_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-bert-base-multilingual-cased-left_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-bert-base-multilingual-cased-left_pad-test_string0]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-bert-base-multilingual-cased-left_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-bert-base-multilingual-cased-left_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-bert-base-multilingual-cased-left_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-bert-base-multilingual-cased-right_pad-test_string0]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-bert-base-multilingual-cased-right_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-bert-base-multilingual-cased-right_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-bert-base-multilingual-cased-right_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-bert-base-multilingual-cased-right_pad-test_string0]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-bert-base-multilingual-cased-right_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-bert-base-multilingual-cased-right_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-bert-base-multilingual-cased-right_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-rubert-tiny2-right_pad-test_string0]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-rubert-tiny2-right_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-rubert-tiny2-right_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-rubert-tiny2-right_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-rubert-tiny2-right_pad-test_string0]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-rubert-tiny2-right_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-rubert-tiny2-right_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-rubert-tiny2-right_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-bert-base-multilingual-cased-right_pad-test_string0]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-bert-base-multilingual-cased-right_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-bert-base-multilingual-cased-right_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-bert-base-multilingual-cased-right_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-bert-base-multilingual-cased-right_pad-test_string0]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-bert-base-multilingual-cased-right_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-bert-base-multilingual-cased-right_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-bert-base-multilingual-cased-right_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-rubert-tiny2-right_pad-test_string0]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-rubert-tiny2-right_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-rubert-tiny2-right_pad-test_string2]": "passed", @@ -572,6 +556,14 @@ "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-rubert-tiny2-right_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-rubert-tiny2-right_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-rubert-tiny2-right_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-rubert-tiny2-right_pad-test_string0]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-rubert-tiny2-right_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-rubert-tiny2-right_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-rubert-tiny2-right_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-rubert-tiny2-right_pad-test_string0]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-rubert-tiny2-right_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-rubert-tiny2-right_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-rubert-tiny2-right_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-rubert-tiny2-left_pad-test_string0]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-rubert-tiny2-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-rubert-tiny2-left_pad-test_string2]": "passed", @@ -580,14 +572,14 @@ "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-rubert-tiny2-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-rubert-tiny2-left_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-rubert-tiny2-left_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-rubert-tiny2-left_pad-test_string0]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-rubert-tiny2-left_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-rubert-tiny2-left_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-rubert-tiny2-left_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-rubert-tiny2-left_pad-test_string0]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-rubert-tiny2-left_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-rubert-tiny2-left_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-rubert-tiny2-left_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-bert-base-multilingual-cased-right_pad-test_string0]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-bert-base-multilingual-cased-right_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-bert-base-multilingual-cased-right_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-bert-base-multilingual-cased-right_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-bert-base-multilingual-cased-right_pad-test_string0]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-bert-base-multilingual-cased-right_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-bert-base-multilingual-cased-right_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-bert-base-multilingual-cased-right_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-distilbert-base-uncased-finetuned-sst-2-english-right_pad-test_string0]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-distilbert-base-uncased-finetuned-sst-2-english-right_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-distilbert-base-uncased-finetuned-sst-2-english-right_pad-test_string2]": "passed", @@ -596,14 +588,6 @@ "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-distilbert-base-uncased-finetuned-sst-2-english-right_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-distilbert-base-uncased-finetuned-sst-2-english-right_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-distilbert-base-uncased-finetuned-sst-2-english-right_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-distilbert-base-uncased-finetuned-sst-2-english-right_pad-test_string0]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-distilbert-base-uncased-finetuned-sst-2-english-right_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-distilbert-base-uncased-finetuned-sst-2-english-right_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-distilbert-base-uncased-finetuned-sst-2-english-right_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-distilbert-base-uncased-finetuned-sst-2-english-right_pad-test_string0]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-distilbert-base-uncased-finetuned-sst-2-english-right_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-distilbert-base-uncased-finetuned-sst-2-english-right_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-distilbert-base-uncased-finetuned-sst-2-english-right_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-distilbert-base-uncased-finetuned-sst-2-english-left_pad-test_string0]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-distilbert-base-uncased-finetuned-sst-2-english-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-distilbert-base-uncased-finetuned-sst-2-english-left_pad-test_string2]": "passed", @@ -612,6 +596,14 @@ "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-distilbert-base-uncased-finetuned-sst-2-english-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-distilbert-base-uncased-finetuned-sst-2-english-left_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-distilbert-base-uncased-finetuned-sst-2-english-left_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-distilbert-base-uncased-finetuned-sst-2-english-right_pad-test_string0]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-distilbert-base-uncased-finetuned-sst-2-english-right_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-distilbert-base-uncased-finetuned-sst-2-english-right_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-distilbert-base-uncased-finetuned-sst-2-english-right_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-distilbert-base-uncased-finetuned-sst-2-english-right_pad-test_string0]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-distilbert-base-uncased-finetuned-sst-2-english-right_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-distilbert-base-uncased-finetuned-sst-2-english-right_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-distilbert-base-uncased-finetuned-sst-2-english-right_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-distilbert-base-uncased-finetuned-sst-2-english-left_pad-test_string0]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-distilbert-base-uncased-finetuned-sst-2-english-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-distilbert-base-uncased-finetuned-sst-2-english-left_pad-test_string2]": "passed", @@ -628,14 +620,6 @@ "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-all-MiniLM-L6-v2-right_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-all-MiniLM-L6-v2-right_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-all-MiniLM-L6-v2-right_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-all-MiniLM-L6-v2-right_pad-test_string0]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-all-MiniLM-L6-v2-right_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-all-MiniLM-L6-v2-right_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-all-MiniLM-L6-v2-right_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-all-MiniLM-L6-v2-right_pad-test_string0]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-all-MiniLM-L6-v2-right_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-all-MiniLM-L6-v2-right_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-all-MiniLM-L6-v2-right_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-all-MiniLM-L6-v2-left_pad-test_string0]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-all-MiniLM-L6-v2-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-all-MiniLM-L6-v2-left_pad-test_string2]": "passed", @@ -644,6 +628,14 @@ "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-all-MiniLM-L6-v2-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-all-MiniLM-L6-v2-left_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-all-MiniLM-L6-v2-left_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-all-MiniLM-L6-v2-right_pad-test_string0]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-all-MiniLM-L6-v2-right_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-all-MiniLM-L6-v2-right_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-all-MiniLM-L6-v2-right_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-all-MiniLM-L6-v2-right_pad-test_string0]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-all-MiniLM-L6-v2-right_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-all-MiniLM-L6-v2-right_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-all-MiniLM-L6-v2-right_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-all-MiniLM-L6-v2-left_pad-test_string0]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-all-MiniLM-L6-v2-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-all-MiniLM-L6-v2-left_pad-test_string2]": "passed", @@ -676,14 +668,6 @@ "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-finbert-right_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-finbert-right_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-finbert-right_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-finbert-right_pad-test_string0]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-finbert-right_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-finbert-right_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-finbert-right_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-finbert-right_pad-test_string0]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-finbert-right_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-finbert-right_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-finbert-right_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-finbert-left_pad-test_string0]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-finbert-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-finbert-left_pad-test_string2]": "passed", @@ -692,6 +676,14 @@ "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-finbert-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-finbert-left_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-finbert-left_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-finbert-right_pad-test_string0]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-finbert-right_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-finbert-right_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-finbert-right_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-finbert-right_pad-test_string0]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-finbert-right_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-finbert-right_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-finbert-right_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-finbert-left_pad-test_string0]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-finbert-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-finbert-left_pad-test_string2]": "passed", @@ -706,18 +698,18 @@ "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-LaBSE-right_pad-test_string0]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-LaBSE-right_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-LaBSE-right_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-LaBSE-right_pad-test_string0]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-LaBSE-right_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-LaBSE-right_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-LaBSE-right_pad-test_string0]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-LaBSE-right_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-LaBSE-right_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-LaBSE-left_pad-test_string0]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-LaBSE-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-LaBSE-left_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-LaBSE-left_pad-test_string0]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-LaBSE-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-LaBSE-left_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-LaBSE-right_pad-test_string0]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-LaBSE-right_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-LaBSE-right_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-LaBSE-right_pad-test_string0]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-LaBSE-right_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-LaBSE-right_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-LaBSE-left_pad-test_string0]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-LaBSE-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-LaBSE-left_pad-test_string3]": "passed", @@ -732,14 +724,6 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-gpt-4o-right_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-gpt-4o-right_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-gpt-4o-right_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-gpt-4o-right_pad-test_string0]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-gpt-4o-right_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-gpt-4o-right_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-gpt-4o-right_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-gpt-4o-right_pad-test_string0]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-gpt-4o-right_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-gpt-4o-right_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-gpt-4o-right_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-gpt-4o-left_pad-test_string0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-gpt-4o-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-gpt-4o-left_pad-test_string2]": "passed", @@ -748,6 +732,14 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-gpt-4o-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-gpt-4o-left_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-gpt-4o-left_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-gpt-4o-right_pad-test_string0]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-gpt-4o-right_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-gpt-4o-right_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-gpt-4o-right_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-gpt-4o-right_pad-test_string0]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-gpt-4o-right_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-gpt-4o-right_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-gpt-4o-right_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-gpt-4o-left_pad-test_string0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-gpt-4o-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-gpt-4o-left_pad-test_string2]": "passed", @@ -778,18 +770,18 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-falcon-7b-right_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-falcon-7b-right_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-falcon-7b-right_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-falcon-7b-right_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-falcon-7b-right_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-falcon-7b-right_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-falcon-7b-right_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-falcon-7b-right_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-falcon-7b-right_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-falcon-7b-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-falcon-7b-left_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-falcon-7b-left_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-falcon-7b-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-falcon-7b-left_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-falcon-7b-left_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-falcon-7b-right_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-falcon-7b-right_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-falcon-7b-right_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-falcon-7b-right_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-falcon-7b-right_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-falcon-7b-right_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-falcon-7b-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-falcon-7b-left_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-falcon-7b-left_pad-test_string3]": "passed", @@ -842,18 +834,18 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-roberta-base-right_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-roberta-base-right_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-roberta-base-right_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-roberta-base-right_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-roberta-base-right_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-roberta-base-right_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-roberta-base-right_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-roberta-base-right_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-roberta-base-right_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-roberta-base-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-roberta-base-left_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-roberta-base-left_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-roberta-base-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-roberta-base-left_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-roberta-base-left_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-roberta-base-right_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-roberta-base-right_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-roberta-base-right_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-roberta-base-right_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-roberta-base-right_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-roberta-base-right_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-roberta-base-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-roberta-base-left_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-roberta-base-left_pad-test_string3]": "passed", @@ -878,18 +870,18 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-gpt2-right_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-gpt2-right_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-gpt2-right_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-gpt2-right_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-gpt2-right_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-gpt2-right_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-gpt2-right_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-gpt2-right_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-gpt2-right_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-gpt2-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-gpt2-left_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-gpt2-left_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-gpt2-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-gpt2-left_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-gpt2-left_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-gpt2-right_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-gpt2-right_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-gpt2-right_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-gpt2-right_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-gpt2-right_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-gpt2-right_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-gpt2-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-gpt2-left_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-gpt2-left_pad-test_string3]": "passed", @@ -914,18 +906,18 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-rugpt3large_based_on_gpt2-right_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-rugpt3large_based_on_gpt2-right_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-rugpt3large_based_on_gpt2-right_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-rugpt3large_based_on_gpt2-right_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-rugpt3large_based_on_gpt2-right_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-rugpt3large_based_on_gpt2-right_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-rugpt3large_based_on_gpt2-right_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-rugpt3large_based_on_gpt2-right_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-rugpt3large_based_on_gpt2-right_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-rugpt3large_based_on_gpt2-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-rugpt3large_based_on_gpt2-left_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-rugpt3large_based_on_gpt2-left_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-rugpt3large_based_on_gpt2-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-rugpt3large_based_on_gpt2-left_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-rugpt3large_based_on_gpt2-left_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-rugpt3large_based_on_gpt2-right_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-rugpt3large_based_on_gpt2-right_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-rugpt3large_based_on_gpt2-right_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-rugpt3large_based_on_gpt2-right_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-rugpt3large_based_on_gpt2-right_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-rugpt3large_based_on_gpt2-right_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-rugpt3large_based_on_gpt2-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-rugpt3large_based_on_gpt2-left_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-rugpt3large_based_on_gpt2-left_pad-test_string3]": "passed", @@ -976,14 +968,6 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-CLIP-ViT-bigG-14-laion2B-39B-b160k-right_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-CLIP-ViT-bigG-14-laion2B-39B-b160k-right_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-CLIP-ViT-bigG-14-laion2B-39B-b160k-right_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-CLIP-ViT-bigG-14-laion2B-39B-b160k-right_pad-test_string0]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-CLIP-ViT-bigG-14-laion2B-39B-b160k-right_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-CLIP-ViT-bigG-14-laion2B-39B-b160k-right_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-CLIP-ViT-bigG-14-laion2B-39B-b160k-right_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-CLIP-ViT-bigG-14-laion2B-39B-b160k-right_pad-test_string0]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-CLIP-ViT-bigG-14-laion2B-39B-b160k-right_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-CLIP-ViT-bigG-14-laion2B-39B-b160k-right_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-CLIP-ViT-bigG-14-laion2B-39B-b160k-right_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-CLIP-ViT-bigG-14-laion2B-39B-b160k-left_pad-test_string0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-CLIP-ViT-bigG-14-laion2B-39B-b160k-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-CLIP-ViT-bigG-14-laion2B-39B-b160k-left_pad-test_string2]": "passed", @@ -992,6 +976,14 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-CLIP-ViT-bigG-14-laion2B-39B-b160k-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-CLIP-ViT-bigG-14-laion2B-39B-b160k-left_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-CLIP-ViT-bigG-14-laion2B-39B-b160k-left_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-CLIP-ViT-bigG-14-laion2B-39B-b160k-right_pad-test_string0]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-CLIP-ViT-bigG-14-laion2B-39B-b160k-right_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-CLIP-ViT-bigG-14-laion2B-39B-b160k-right_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-CLIP-ViT-bigG-14-laion2B-39B-b160k-right_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-CLIP-ViT-bigG-14-laion2B-39B-b160k-right_pad-test_string0]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-CLIP-ViT-bigG-14-laion2B-39B-b160k-right_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-CLIP-ViT-bigG-14-laion2B-39B-b160k-right_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-CLIP-ViT-bigG-14-laion2B-39B-b160k-right_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-CLIP-ViT-bigG-14-laion2B-39B-b160k-left_pad-test_string0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-CLIP-ViT-bigG-14-laion2B-39B-b160k-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-CLIP-ViT-bigG-14-laion2B-39B-b160k-left_pad-test_string2]": "passed", @@ -1006,18 +998,18 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-codegen-16B-multi-right_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-codegen-16B-multi-right_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-codegen-16B-multi-right_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-codegen-16B-multi-right_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-codegen-16B-multi-right_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-codegen-16B-multi-right_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-codegen-16B-multi-right_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-codegen-16B-multi-right_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-codegen-16B-multi-right_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-codegen-16B-multi-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-codegen-16B-multi-left_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-codegen-16B-multi-left_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-codegen-16B-multi-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-codegen-16B-multi-left_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-codegen-16B-multi-left_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-codegen-16B-multi-right_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-codegen-16B-multi-right_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-codegen-16B-multi-right_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-codegen-16B-multi-right_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-codegen-16B-multi-right_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-codegen-16B-multi-right_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-codegen-16B-multi-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-codegen-16B-multi-left_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-codegen-16B-multi-left_pad-test_string3]": "passed", @@ -1048,14 +1040,6 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-deepseek-coder-6.7b-instruct-right_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-deepseek-coder-6.7b-instruct-right_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-deepseek-coder-6.7b-instruct-right_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-deepseek-coder-6.7b-instruct-right_pad-test_string0]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-deepseek-coder-6.7b-instruct-right_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-deepseek-coder-6.7b-instruct-right_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-deepseek-coder-6.7b-instruct-right_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-deepseek-coder-6.7b-instruct-right_pad-test_string0]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-deepseek-coder-6.7b-instruct-right_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-deepseek-coder-6.7b-instruct-right_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-deepseek-coder-6.7b-instruct-right_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-deepseek-coder-6.7b-instruct-left_pad-test_string0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-deepseek-coder-6.7b-instruct-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-deepseek-coder-6.7b-instruct-left_pad-test_string2]": "passed", @@ -1064,6 +1048,14 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-deepseek-coder-6.7b-instruct-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-deepseek-coder-6.7b-instruct-left_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-deepseek-coder-6.7b-instruct-left_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-deepseek-coder-6.7b-instruct-right_pad-test_string0]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-deepseek-coder-6.7b-instruct-right_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-deepseek-coder-6.7b-instruct-right_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-deepseek-coder-6.7b-instruct-right_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-deepseek-coder-6.7b-instruct-right_pad-test_string0]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-deepseek-coder-6.7b-instruct-right_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-deepseek-coder-6.7b-instruct-right_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-deepseek-coder-6.7b-instruct-right_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-deepseek-coder-6.7b-instruct-left_pad-test_string0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-deepseek-coder-6.7b-instruct-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-deepseek-coder-6.7b-instruct-left_pad-test_string2]": "passed", @@ -1080,14 +1072,6 @@ "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[add_tokens-Qwen-14B-Chat-min_pad-right_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[add_tokens-Qwen-14B-Chat-min_pad-right_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[add_tokens-Qwen-14B-Chat-min_pad-right_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[no_add_tokens-Qwen-14B-Chat-max_pad-right_pad-test_string0]": "passed", - "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[no_add_tokens-Qwen-14B-Chat-max_pad-right_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[no_add_tokens-Qwen-14B-Chat-max_pad-right_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[no_add_tokens-Qwen-14B-Chat-max_pad-right_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[add_tokens-Qwen-14B-Chat-max_pad-right_pad-test_string0]": "passed", - "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[add_tokens-Qwen-14B-Chat-max_pad-right_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[add_tokens-Qwen-14B-Chat-max_pad-right_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[add_tokens-Qwen-14B-Chat-max_pad-right_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[no_add_tokens-Qwen-14B-Chat-min_pad-left_pad-test_string0]": "passed", "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[no_add_tokens-Qwen-14B-Chat-min_pad-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[no_add_tokens-Qwen-14B-Chat-min_pad-left_pad-test_string2]": "passed", @@ -1096,6 +1080,14 @@ "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[add_tokens-Qwen-14B-Chat-min_pad-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[add_tokens-Qwen-14B-Chat-min_pad-left_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[add_tokens-Qwen-14B-Chat-min_pad-left_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[no_add_tokens-Qwen-14B-Chat-max_pad-right_pad-test_string0]": "passed", + "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[no_add_tokens-Qwen-14B-Chat-max_pad-right_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[no_add_tokens-Qwen-14B-Chat-max_pad-right_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[no_add_tokens-Qwen-14B-Chat-max_pad-right_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[add_tokens-Qwen-14B-Chat-max_pad-right_pad-test_string0]": "passed", + "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[add_tokens-Qwen-14B-Chat-max_pad-right_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[add_tokens-Qwen-14B-Chat-max_pad-right_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[add_tokens-Qwen-14B-Chat-max_pad-right_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[no_add_tokens-Qwen-14B-Chat-max_pad-left_pad-test_string0]": "passed", "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[no_add_tokens-Qwen-14B-Chat-max_pad-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[no_add_tokens-Qwen-14B-Chat-max_pad-left_pad-test_string2]": "passed", @@ -1105,7 +1097,7 @@ "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[add_tokens-Qwen-14B-Chat-max_pad-left_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[add_tokens-Qwen-14B-Chat-max_pad-left_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[no_add_tokens-glm-4-9b-chat-min_pad-right_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[no_add_tokens-glm-4-9b-chat-max_pad-right_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[add_tokens-glm-4-9b-chat-min_pad-right_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[no_add_tokens-glm-4-9b-chat-min_pad-left_pad-test_string0]": "passed", "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[no_add_tokens-glm-4-9b-chat-min_pad-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[no_add_tokens-glm-4-9b-chat-min_pad-left_pad-test_string2]": "passed", @@ -1114,6 +1106,8 @@ "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[add_tokens-glm-4-9b-chat-min_pad-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[add_tokens-glm-4-9b-chat-min_pad-left_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[add_tokens-glm-4-9b-chat-min_pad-left_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[no_add_tokens-glm-4-9b-chat-max_pad-right_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[add_tokens-glm-4-9b-chat-max_pad-right_pad-test_string3]": "passed", "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[no_add_tokens-glm-4-9b-chat-max_pad-left_pad-test_string0]": "passed", "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[no_add_tokens-glm-4-9b-chat-max_pad-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[no_add_tokens-glm-4-9b-chat-max_pad-left_pad-test_string2]": "passed", @@ -1122,20 +1116,28 @@ "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[add_tokens-glm-4-9b-chat-max_pad-left_pad-test_string1]": "passed", "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[add_tokens-glm-4-9b-chat-max_pad-left_pad-test_string2]": "passed", "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[add_tokens-glm-4-9b-chat-max_pad-left_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-bert-base-multilingual-cased-right_pad-test_string0]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-bert-base-multilingual-cased-right_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-bert-base-multilingual-cased-right_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-bert-base-multilingual-cased-right_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-bert-base-multilingual-cased-right_pad-test_string0]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-bert-base-multilingual-cased-right_pad-test_string1]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-bert-base-multilingual-cased-right_pad-test_string2]": "passed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-bert-base-multilingual-cased-right_pad-test_string3]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad-sp_backend-Fast-test_string0]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad-sp_backend-Fast-test_string1]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad-sp_backend-Fast-test_string2]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad-sp_backend-Fast-test_string3]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad-sp_backend-Fast-test_string0]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad-sp_backend-Fast-test_string1]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-bert-base-multilingual-cased-left_pad-test_string0]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-bert-base-multilingual-cased-left_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-bert-base-multilingual-cased-left_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-bert-base-multilingual-cased-left_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-bert-base-multilingual-cased-left_pad-test_string0]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-bert-base-multilingual-cased-left_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-bert-base-multilingual-cased-left_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-bert-base-multilingual-cased-left_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-rubert-tiny2-left_pad-test_string0]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-rubert-tiny2-left_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-rubert-tiny2-left_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-rubert-tiny2-left_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-rubert-tiny2-left_pad-test_string0]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-rubert-tiny2-left_pad-test_string1]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-rubert-tiny2-left_pad-test_string2]": "passed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-rubert-tiny2-left_pad-test_string3]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad-sp_backend-Fast-test_string0]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad-sp_backend-Fast-test_string1]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad-sp_backend-Fast-test_string2]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad-sp_backend-Fast-test_string3]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad-sp_backend-Fast-test_string0]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad-sp_backend-Fast-test_string1]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad-sp_backend-Fast-test_string2]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad-sp_backend-Fast-test_string3]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad-sp_backend-Fast-test_string0]": "passed", @@ -1146,22 +1148,22 @@ "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad-sp_backend-Fast-test_string1]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad-sp_backend-Fast-test_string2]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad-sp_backend-Fast-test_string3]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad--Fast-test_string0]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad--Fast-test_string1]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad--Fast-test_string2]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad--Fast-test_string3]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad--Fast-test_string0]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad--Fast-test_string1]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad--Fast-test_string2]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad--Fast-test_string3]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad--Fast-test_string0]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad--Fast-test_string1]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad--Fast-test_string2]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad--Fast-test_string3]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad--Fast-test_string0]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad--Fast-test_string1]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad--Fast-test_string2]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad--Fast-test_string3]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad-sp_backend-Slow-test_string0]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad-sp_backend-Slow-test_string1]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad-sp_backend-Slow-test_string2]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad-sp_backend-Slow-test_string3]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad-sp_backend-Slow-test_string0]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad-sp_backend-Slow-test_string1]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad-sp_backend-Slow-test_string2]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad-sp_backend-Slow-test_string3]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad-sp_backend-Slow-test_string0]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad-sp_backend-Slow-test_string1]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad-sp_backend-Slow-test_string2]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad-sp_backend-Slow-test_string3]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad-sp_backend-Slow-test_string0]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad-sp_backend-Slow-test_string1]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad-sp_backend-Slow-test_string2]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad-sp_backend-Slow-test_string3]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Baichuan2-7B-Chat-right_pad-sp_backend-Slow-test_string0]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Baichuan2-7B-Chat-right_pad-sp_backend-Slow-test_string1]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Baichuan2-7B-Chat-right_pad-sp_backend-Slow-test_string2]": "passed", @@ -1188,39 +1190,51 @@ "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-camembert-base-left_pad-sp_backend-Fast-test_string0]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-camembert-base-left_pad-sp_backend-Fast-test_string3]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-camembert-base-left_pad-sp_backend-Fast-test_string3]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-right_pad-sp_backend-Slow-test_string1]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-right_pad-sp_backend-Slow-test_string2]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-right_pad-sp_backend-Slow-test_string3]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-right_pad-sp_backend-Slow-test_string1]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-right_pad-sp_backend-Slow-test_string2]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-right_pad-sp_backend-Slow-test_string3]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-left_pad-sp_backend-Slow-test_string1]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-left_pad-sp_backend-Slow-test_string2]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-left_pad-sp_backend-Slow-test_string3]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-left_pad-sp_backend-Slow-test_string1]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-left_pad-sp_backend-Slow-test_string2]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-left_pad-sp_backend-Slow-test_string3]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-right_pad--Fast-test_string0]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-right_pad--Fast-test_string1]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-right_pad--Fast-test_string2]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-right_pad--Fast-test_string3]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-right_pad--Fast-test_string0]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-right_pad--Fast-test_string1]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-right_pad--Fast-test_string2]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-right_pad--Fast-test_string3]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-left_pad--Fast-test_string0]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-left_pad--Fast-test_string1]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-left_pad--Fast-test_string2]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-left_pad--Fast-test_string3]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-left_pad--Fast-test_string0]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-left_pad--Fast-test_string1]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-left_pad--Fast-test_string2]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-left_pad--Fast-test_string3]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-right_pad-sp_backend-Slow-test_string0]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-right_pad-sp_backend-Slow-test_string1]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-right_pad-sp_backend-Slow-test_string2]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-right_pad-sp_backend-Slow-test_string3]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-right_pad-sp_backend-Slow-test_string0]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-right_pad-sp_backend-Slow-test_string1]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-right_pad-sp_backend-Slow-test_string2]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-right_pad-sp_backend-Slow-test_string3]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-left_pad-sp_backend-Slow-test_string0]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-left_pad-sp_backend-Slow-test_string1]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-left_pad-sp_backend-Slow-test_string2]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-left_pad-sp_backend-Slow-test_string3]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-left_pad-sp_backend-Slow-test_string0]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-left_pad-sp_backend-Slow-test_string1]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-left_pad-sp_backend-Slow-test_string2]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-left_pad-sp_backend-Slow-test_string3]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-right_pad-sp_backend-Fast-test_string0]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-right_pad-sp_backend-Fast-test_string1]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-right_pad-sp_backend-Fast-test_string2]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-right_pad-sp_backend-Fast-test_string3]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-right_pad-sp_backend-Fast-test_string0]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-right_pad-sp_backend-Fast-test_string1]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-right_pad-sp_backend-Fast-test_string2]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-right_pad-sp_backend-Fast-test_string3]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-left_pad-sp_backend-Fast-test_string0]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-left_pad-sp_backend-Fast-test_string1]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-left_pad-sp_backend-Fast-test_string2]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-left_pad-sp_backend-Fast-test_string3]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-left_pad-sp_backend-Fast-test_string0]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-left_pad-sp_backend-Fast-test_string1]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-left_pad-sp_backend-Fast-test_string2]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-left_pad-sp_backend-Fast-test_string3]": "passed", @@ -1364,22 +1378,6 @@ "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-bilingual-gpt-neox-4b-left_pad-sp_backend-Fast-test_string2]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-bilingual-gpt-neox-4b-left_pad-sp_backend-Fast-test_string1]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-bilingual-gpt-neox-4b-left_pad-sp_backend-Fast-test_string2]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Phi-3-mini-128k-instruct-right_pad-sp_backend-Slow-test_string0]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Phi-3-mini-128k-instruct-right_pad-sp_backend-Slow-test_string1]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Phi-3-mini-128k-instruct-right_pad-sp_backend-Slow-test_string2]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Phi-3-mini-128k-instruct-right_pad-sp_backend-Slow-test_string3]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Phi-3-mini-128k-instruct-right_pad-sp_backend-Slow-test_string0]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Phi-3-mini-128k-instruct-right_pad-sp_backend-Slow-test_string1]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Phi-3-mini-128k-instruct-right_pad-sp_backend-Slow-test_string2]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Phi-3-mini-128k-instruct-right_pad-sp_backend-Slow-test_string3]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Phi-3-mini-128k-instruct-left_pad-sp_backend-Slow-test_string0]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Phi-3-mini-128k-instruct-left_pad-sp_backend-Slow-test_string1]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Phi-3-mini-128k-instruct-left_pad-sp_backend-Slow-test_string2]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Phi-3-mini-128k-instruct-left_pad-sp_backend-Slow-test_string3]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Phi-3-mini-128k-instruct-left_pad-sp_backend-Slow-test_string0]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Phi-3-mini-128k-instruct-left_pad-sp_backend-Slow-test_string1]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Phi-3-mini-128k-instruct-left_pad-sp_backend-Slow-test_string2]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Phi-3-mini-128k-instruct-left_pad-sp_backend-Slow-test_string3]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Phi-3-mini-128k-instruct-right_pad--Fast-test_string0]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Phi-3-mini-128k-instruct-right_pad--Fast-test_string1]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Phi-3-mini-128k-instruct-right_pad--Fast-test_string2]": "passed", @@ -1396,6 +1394,22 @@ "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Phi-3-mini-128k-instruct-left_pad--Fast-test_string1]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Phi-3-mini-128k-instruct-left_pad--Fast-test_string2]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Phi-3-mini-128k-instruct-left_pad--Fast-test_string3]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Phi-3-mini-128k-instruct-right_pad-sp_backend-Slow-test_string0]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Phi-3-mini-128k-instruct-right_pad-sp_backend-Slow-test_string1]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Phi-3-mini-128k-instruct-right_pad-sp_backend-Slow-test_string2]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Phi-3-mini-128k-instruct-right_pad-sp_backend-Slow-test_string3]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Phi-3-mini-128k-instruct-right_pad-sp_backend-Slow-test_string0]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Phi-3-mini-128k-instruct-right_pad-sp_backend-Slow-test_string1]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Phi-3-mini-128k-instruct-right_pad-sp_backend-Slow-test_string2]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Phi-3-mini-128k-instruct-right_pad-sp_backend-Slow-test_string3]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Phi-3-mini-128k-instruct-left_pad-sp_backend-Slow-test_string0]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Phi-3-mini-128k-instruct-left_pad-sp_backend-Slow-test_string1]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Phi-3-mini-128k-instruct-left_pad-sp_backend-Slow-test_string2]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Phi-3-mini-128k-instruct-left_pad-sp_backend-Slow-test_string3]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Phi-3-mini-128k-instruct-left_pad-sp_backend-Slow-test_string0]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Phi-3-mini-128k-instruct-left_pad-sp_backend-Slow-test_string1]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Phi-3-mini-128k-instruct-left_pad-sp_backend-Slow-test_string2]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Phi-3-mini-128k-instruct-left_pad-sp_backend-Slow-test_string3]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Phi-3-mini-128k-instruct-right_pad-sp_backend-Fast-test_string0]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Phi-3-mini-128k-instruct-right_pad-sp_backend-Fast-test_string1]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Phi-3-mini-128k-instruct-right_pad-sp_backend-Fast-test_string2]": "passed", @@ -1412,18 +1426,6 @@ "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Phi-3-mini-128k-instruct-left_pad-sp_backend-Fast-test_string1]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Phi-3-mini-128k-instruct-left_pad-sp_backend-Fast-test_string2]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Phi-3-mini-128k-instruct-left_pad-sp_backend-Fast-test_string3]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-quantized-gemma-7b-it-right_pad-sp_backend-Slow-test_string1]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-quantized-gemma-7b-it-right_pad-sp_backend-Slow-test_string2]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-quantized-gemma-7b-it-right_pad-sp_backend-Slow-test_string3]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-quantized-gemma-7b-it-right_pad-sp_backend-Slow-test_string1]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-quantized-gemma-7b-it-right_pad-sp_backend-Slow-test_string2]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-quantized-gemma-7b-it-right_pad-sp_backend-Slow-test_string3]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-quantized-gemma-7b-it-left_pad-sp_backend-Slow-test_string1]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-quantized-gemma-7b-it-left_pad-sp_backend-Slow-test_string2]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-quantized-gemma-7b-it-left_pad-sp_backend-Slow-test_string3]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-quantized-gemma-7b-it-left_pad-sp_backend-Slow-test_string1]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-quantized-gemma-7b-it-left_pad-sp_backend-Slow-test_string2]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-quantized-gemma-7b-it-left_pad-sp_backend-Slow-test_string3]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-quantized-gemma-7b-it-right_pad--Fast-test_string1]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-quantized-gemma-7b-it-right_pad--Fast-test_string2]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-quantized-gemma-7b-it-right_pad--Fast-test_string3]": "passed", @@ -1436,6 +1438,18 @@ "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-quantized-gemma-7b-it-left_pad--Fast-test_string1]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-quantized-gemma-7b-it-left_pad--Fast-test_string2]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-quantized-gemma-7b-it-left_pad--Fast-test_string3]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-quantized-gemma-7b-it-right_pad-sp_backend-Slow-test_string1]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-quantized-gemma-7b-it-right_pad-sp_backend-Slow-test_string2]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-quantized-gemma-7b-it-right_pad-sp_backend-Slow-test_string3]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-quantized-gemma-7b-it-right_pad-sp_backend-Slow-test_string1]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-quantized-gemma-7b-it-right_pad-sp_backend-Slow-test_string2]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-quantized-gemma-7b-it-right_pad-sp_backend-Slow-test_string3]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-quantized-gemma-7b-it-left_pad-sp_backend-Slow-test_string1]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-quantized-gemma-7b-it-left_pad-sp_backend-Slow-test_string2]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-quantized-gemma-7b-it-left_pad-sp_backend-Slow-test_string3]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-quantized-gemma-7b-it-left_pad-sp_backend-Slow-test_string1]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-quantized-gemma-7b-it-left_pad-sp_backend-Slow-test_string2]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-quantized-gemma-7b-it-left_pad-sp_backend-Slow-test_string3]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-quantized-gemma-7b-it-right_pad-sp_backend-Fast-test_string1]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-quantized-gemma-7b-it-right_pad-sp_backend-Fast-test_string2]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-quantized-gemma-7b-it-right_pad-sp_backend-Fast-test_string3]": "passed", @@ -1448,44 +1462,6 @@ "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-quantized-gemma-7b-it-left_pad-sp_backend-Fast-test_string1]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-quantized-gemma-7b-it-left_pad-sp_backend-Fast-test_string2]": "passed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-quantized-gemma-7b-it-left_pad-sp_backend-Fast-test_string3]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-A lot\\t w!]": "passed", @@ -1517,13 +1493,51 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-A lot\\t w!]": "passed", @@ -1555,7 +1569,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast- ]": "passed", @@ -1593,62 +1607,62 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-Testzeichenfolge?]": "passed", @@ -1669,51 +1683,13 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-A lot\\t w!]": "passed", @@ -1745,13 +1721,51 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-A lot\\t w!]": "passed", @@ -1783,7 +1797,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast- ]": "passed", @@ -1815,7 +1829,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow- ]": "passed", @@ -1836,55 +1850,13 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-Testzeichenfolge?]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-A lot\\t w!]": "passed", @@ -1911,7 +1883,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Slow- ]": "passed", @@ -1932,13 +1904,43 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-Testzeichenfolge?]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-A lot\\t w!]": "passed", @@ -1953,13 +1955,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-Testzeichenfolge?]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Slow- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-A lot\\t w!]": "passed", @@ -1974,13 +1970,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-Testzeichenfolge?]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base-sp_backend-Slow-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base-sp_backend-Slow-A lot\\t w!]": "passed", @@ -2011,7 +2001,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base-sp_backend-Slow-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base-sp_backend-Slow- ]": "passed", @@ -2046,7 +2036,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base-sp_backend-Slow-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base-sp_backend-Slow- ]": "passed", @@ -2067,7 +2057,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base-sp_backend-Fast-Testzeichenfolge?]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base-sp_backend-Fast- ]": "passed", @@ -2085,7 +2075,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base-sp_backend-Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base-sp_backend-Fast-Testzeichenfolge?]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base-sp_backend-Fast- ]": "passed", @@ -2093,44 +2083,6 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base-sp_backend-Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base-sp_backend-Fast- \\t\\n]": "passed", "tokenizers_test.py::test_rt_info_sentencepiece[camembert-base-sp_backend-Fast]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-A lot\\t w!]": "passed", @@ -2162,13 +2114,51 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-A lot\\t w!]": "passed", @@ -2200,165 +2190,13 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf--Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf--Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf--Fast-A lot\\t w!]": "passed", @@ -2390,13 +2228,51 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf--Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf--Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf--Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf--Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf--Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf--Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Fast-A lot\\t w!]": "passed", @@ -2428,51 +2304,127 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Fast- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Slow- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf-sp_backend-Fast- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf--Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf--Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf--Fast-A lot\\t w!]": "passed", @@ -2504,13 +2456,51 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf--Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf--Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf--Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf--Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf--Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf--Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Slow- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Fast-A lot\\t w!]": "passed", @@ -2542,94 +2532,20 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf-sp_backend-Fast- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow- \\t\\n]": "passed", - "tokenizers_test.py::test_rt_info_sentencepiece[Llama-2-13b-hf-sp_backend-Slow]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf--Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf--Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf--Fast-A lot\\t w!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf--Fast-A lot\\t\\tof whitespaces!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf--Fast-What is OpenVINO?]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", @@ -2654,7 +2570,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf--Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf--Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf--Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf--Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf--Fast- ]": "passed", @@ -2667,6 +2583,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf--Fast-A lot\\t\\tof whitespaces!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf--Fast-What is OpenVINO?]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", @@ -2691,7 +2608,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf--Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf--Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf--Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf--Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf--Fast- ]": "passed", @@ -2699,12 +2616,88 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf--Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf--Fast- \\t\\n]": "passed", "tokenizers_test.py::test_rt_info_sentencepiece[Llama-2-13b-hf--Fast]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow- \\t\\n]": "passed", + "tokenizers_test.py::test_rt_info_sentencepiece[Llama-2-13b-hf-sp_backend-Slow]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Fast-A lot\\t w!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Fast-What is OpenVINO?]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", @@ -2729,15 +2722,20 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Fast-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Fast-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Fast- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Fast-A lot\\t w!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Fast-What is OpenVINO?]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", @@ -2762,9 +2760,13 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Fast-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Fast-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Fast- \\t\\n]": "passed", "tokenizers_test.py::test_rt_info_sentencepiece[Llama-2-13b-hf-sp_backend-Fast]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", @@ -2797,7 +2799,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow- ]": "passed", @@ -2835,87 +2837,13 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Slow-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Slow-A lot\\t w!]": "passed", @@ -2947,7 +2875,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Slow-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Slow- ]": "passed", @@ -2985,13 +2913,75 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Slow-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Slow-A lot\\t w!]": "passed", @@ -3022,13 +3012,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Slow- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Fast-A lot\\t w!]": "passed", @@ -3059,13 +3043,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Fast-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Fast-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Fast-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base-sp_backend-Slow-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base-sp_backend-Slow-A lot\\t w!]": "passed", @@ -3096,7 +3074,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base-sp_backend-Slow-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base-sp_backend-Slow- ]": "passed", @@ -3130,7 +3108,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base-sp_backend-Slow-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base-sp_backend-Slow- ]": "passed", @@ -3168,7 +3146,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base-sp_backend-Fast- ]": "passed", @@ -3202,7 +3180,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base-sp_backend-Fast- ]": "passed", @@ -3241,7 +3219,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow- ]": "passed", @@ -3279,85 +3257,13 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Slow-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Slow-A lot\\t w!]": "passed", @@ -3389,7 +3295,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Slow-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Slow- ]": "passed", @@ -3427,13 +3333,73 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Slow-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Slow-A lot\\t w!]": "passed", @@ -3465,13 +3431,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Slow-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Slow- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast-A lot\\t w!]": "passed", @@ -3499,13 +3459,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base-sp_backend-Slow-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base-sp_backend-Slow-A lot\\t w!]": "passed", @@ -3537,7 +3491,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base-sp_backend-Slow-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base-sp_backend-Slow- ]": "passed", @@ -3575,7 +3529,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base-sp_backend-Slow-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base-sp_backend-Slow- ]": "passed", @@ -3614,7 +3568,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base-sp_backend-Fast- ]": "passed", @@ -3652,7 +3606,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base-sp_backend-Fast- ]": "passed", @@ -3683,7 +3637,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow- ]": "passed", @@ -3721,55 +3675,13 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-A lot\\t w!]": "passed", @@ -3793,7 +3705,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow- ]": "passed", @@ -3831,13 +3743,43 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-A lot\\t w!]": "passed", @@ -3852,13 +3794,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-Testzeichenfolge?]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast-A lot\\t w!]": "passed", @@ -3873,13 +3809,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast-Testzeichenfolge?]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased-sp_backend-Slow-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased-sp_backend-Slow-A lot\\t w!]": "passed", @@ -3908,7 +3838,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased-sp_backend-Slow-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased-sp_backend-Slow- ]": "passed", @@ -3944,7 +3874,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased-sp_backend-Fast- ]": "passed", @@ -3976,7 +3906,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow- ]": "passed", @@ -3996,71 +3926,31 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Slow-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Slow-A lot\\t w!]": "passed", @@ -4086,7 +3976,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Slow-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Slow- ]": "passed", @@ -4124,13 +4014,41 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Slow-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Slow-A lot\\t w!]": "passed", @@ -4144,13 +4062,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Slow-Testzeichenfolge?]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Slow- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Fast-A lot\\t w!]": "passed", @@ -4164,13 +4076,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Fast-Testzeichenfolge?]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Fast-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Fast-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Fast-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base-sp_backend-Slow-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base-sp_backend-Slow-A lot\\t w!]": "passed", @@ -4202,7 +4108,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base-sp_backend-Slow-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base-sp_backend-Slow- ]": "passed", @@ -4240,7 +4146,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base-sp_backend-Slow-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base-sp_backend-Slow- ]": "passed", @@ -4279,7 +4185,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base-sp_backend-Fast- ]": "passed", @@ -4317,7 +4223,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base-sp_backend-Fast- ]": "passed", @@ -4349,7 +4255,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow- ]": "passed", @@ -4387,53 +4293,13 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-A lot\\t w!]": "passed", @@ -4459,7 +4325,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow- ]": "passed", @@ -4497,13 +4363,41 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-A lot\\t w!]": "passed", @@ -4517,13 +4411,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-Testzeichenfolge?]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast-A lot\\t w!]": "passed", @@ -4537,13 +4425,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast-Testzeichenfolge?]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small-sp_backend-Slow-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small-sp_backend-Slow-A lot\\t w!]": "passed", @@ -4575,7 +4457,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small-sp_backend-Slow-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small-sp_backend-Slow- ]": "passed", @@ -4610,7 +4492,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small-sp_backend-Slow-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small-sp_backend-Slow- ]": "passed", @@ -4649,7 +4531,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small-sp_backend-Fast- ]": "passed", @@ -4684,7 +4566,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small-sp_backend-Fast- ]": "passed", @@ -4721,7 +4603,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", @@ -4754,72 +4636,13 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-A lot\\t w!]": "passed", @@ -4849,7 +4672,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", @@ -4882,13 +4705,67 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-A lot\\t w!]": "passed", @@ -4919,7 +4796,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", @@ -4942,12 +4819,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Slow-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Slow-A lot\\t w!]": "passed", @@ -4979,7 +4851,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Slow-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Slow- ]": "passed", @@ -5017,7 +4889,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b-sp_backend-Slow-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b-sp_backend-Slow- ]": "passed", @@ -5026,7 +4898,9 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b-sp_backend-Slow- \\t\\n]": "passed", "tokenizers_test.py::test_rt_info_sentencepiece[bilingual-gpt-neox-4b-sp_backend-Slow]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-What is OpenVINO?]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", @@ -5052,10 +4926,12 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-What is OpenVINO?]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", @@ -5081,46 +4957,9 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_rt_info_sentencepiece[bilingual-gpt-neox-4b-sp_backend-Fast]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-A lot\\t w!]": "passed", @@ -5152,13 +4991,50 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-A lot\\t w!]": "passed", @@ -5190,164 +5066,13 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Fast-A lot\\t w!]": "passed", @@ -5379,13 +5104,50 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-A lot\\t w!]": "passed", @@ -5417,51 +5179,127 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Fast-A lot\\t w!]": "passed", @@ -5493,13 +5331,51 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Slow- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-A lot\\t w!]": "passed", @@ -5531,88 +5407,13 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct-sp_backend-Fast- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow- \\t\\n]": "passed", - "tokenizers_test.py::test_rt_info_sentencepiece[Phi-3-mini-128k-instruct-sp_backend-Slow]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct--Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct--Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct--Fast-A lot\\t w!]": "passed", @@ -5644,7 +5445,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct--Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct--Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct--Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct--Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct--Fast- ]": "passed", @@ -5683,7 +5484,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct--Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct--Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct--Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct--Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct--Fast- ]": "passed", @@ -5692,6 +5493,81 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct--Fast- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-Phi-3-mini-128k-instruct--Fast-test_chat0]": "passed", "tokenizers_test.py::test_rt_info_sentencepiece[Phi-3-mini-128k-instruct--Fast]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Slow- \\t\\n]": "passed", + "tokenizers_test.py::test_rt_info_sentencepiece[Phi-3-mini-128k-instruct-sp_backend-Slow]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Fast-A lot\\t w!]": "passed", @@ -5723,7 +5599,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct-sp_backend-Fast- ]": "passed", @@ -5761,7 +5637,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Fast- ]": "passed", @@ -5769,44 +5645,6 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct-sp_backend-Fast- \\t\\n]": "passed", "tokenizers_test.py::test_rt_info_sentencepiece[Phi-3-mini-128k-instruct-sp_backend-Fast]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-A lot\\t w!]": "passed", @@ -5833,207 +5671,94 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it--Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it--Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it--Fast-A lot\\t w!]": "passed", @@ -6065,13 +5790,50 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it--Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it--Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it--Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it--Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it--Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it--Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-A lot\\t w!]": "passed", @@ -6103,50 +5865,127 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Fast- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Slow- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it-sp_backend-Fast- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it--Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it--Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it--Fast-A lot\\t w!]": "passed", @@ -6178,13 +6017,50 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it--Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it--Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it--Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it--Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it--Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it--Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Slow- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-A lot\\t w!]": "passed", @@ -6216,13 +6092,90 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it-sp_backend-Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[no_add_tokens-quantized-gemma-7b-it--Fast-test_chat0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-quantized-gemma-7b-it--Fast-test_chat0]": "passed", + "tokenizers_test.py::test_rt_info_sentencepiece[quantized-gemma-7b-it--Fast]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it-sp_backend-Slow-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it-sp_backend-Slow-A lot\\t w!]": "passed", @@ -6254,7 +6207,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it-sp_backend-Slow-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it-sp_backend-Slow- ]": "passed", @@ -6293,7 +6246,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it-sp_backend-Slow-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it-sp_backend-Slow- ]": "passed", @@ -6302,83 +6255,6 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it-sp_backend-Slow- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-quantized-gemma-7b-it-sp_backend-Slow-test_chat0]": "passed", "tokenizers_test.py::test_rt_info_sentencepiece[quantized-gemma-7b-it-sp_backend-Slow]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Fast- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[no_add_tokens-quantized-gemma-7b-it--Fast-test_chat0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Fast- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-quantized-gemma-7b-it--Fast-test_chat0]": "passed", - "tokenizers_test.py::test_rt_info_sentencepiece[quantized-gemma-7b-it--Fast]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it-sp_backend-Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it-sp_backend-Fast-A lot\\t w!]": "passed", @@ -6409,7 +6285,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it-sp_backend-Fast- ]": "passed", @@ -6446,7 +6322,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it-sp_backend-Fast- ]": "passed", @@ -6470,66 +6346,28 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-Testzeichenfolge?]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-Tester, la cha\\xeene...]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\U0001f600]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\U0001fae0]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\x06]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o- \\t\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-A lot\\t w!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\U0001f600]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\U0001fae0]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\x06]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o- \\t\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\U0001f600]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\U0001fae0]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\x06]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o-\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-4o- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt-4o-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt-4o-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt-4o-A lot\\t w!]": "passed", @@ -6561,13 +6399,51 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt-4o-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt-4o-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt-4o-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt-4o-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt-4o-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt-4o-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt-4o- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt-4o- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt-4o- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt-4o-\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt-4o- \\t\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-A lot\\t w!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\U0001f600]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\U0001fae0]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\x06]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o-\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-4o- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-gpt-4o-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-gpt-4o-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-gpt-4o-A lot\\t w!]": "passed", @@ -6599,7 +6475,7 @@ "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-gpt-4o-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-gpt-4o-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-gpt-4o-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-gpt-4o-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-gpt-4o-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-gpt-4o-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-gpt-4o- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-gpt-4o- ]": "passed", @@ -6637,7 +6513,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-gpt-4o-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-gpt-4o-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-gpt-4o-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-gpt-4o-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-gpt-4o-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-gpt-4o-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-gpt-4o- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-gpt-4o- ]": "passed", @@ -6675,7 +6551,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-gpt-4o-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-gpt-4o-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-gpt-4o-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-gpt-4o-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-gpt-4o-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-gpt-4o-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-gpt-4o- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-gpt-4o- ]": "passed", @@ -6714,51 +6590,13 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct- \\t\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-A lot\\t w!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\U0001f600]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\U0001fae0]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\x06]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-Meta-Llama-3-8B-Instruct-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-Meta-Llama-3-8B-Instruct-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-Meta-Llama-3-8B-Instruct-A lot\\t w!]": "passed", @@ -6790,13 +6628,51 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-Meta-Llama-3-8B-Instruct-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-Meta-Llama-3-8B-Instruct-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-Meta-Llama-3-8B-Instruct-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-Meta-Llama-3-8B-Instruct-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-Meta-Llama-3-8B-Instruct-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-Meta-Llama-3-8B-Instruct-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-Meta-Llama-3-8B-Instruct- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-Meta-Llama-3-8B-Instruct- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-Meta-Llama-3-8B-Instruct- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-Meta-Llama-3-8B-Instruct-\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-Meta-Llama-3-8B-Instruct- \\t\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-A lot\\t w!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\U0001f600]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\U0001fae0]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\x06]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct-\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Meta-Llama-3-8B-Instruct- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-Meta-Llama-3-8B-Instruct-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-Meta-Llama-3-8B-Instruct-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-Meta-Llama-3-8B-Instruct-A lot\\t w!]": "passed", @@ -6828,7 +6704,7 @@ "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-Meta-Llama-3-8B-Instruct-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-Meta-Llama-3-8B-Instruct-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-Meta-Llama-3-8B-Instruct-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-Meta-Llama-3-8B-Instruct-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-Meta-Llama-3-8B-Instruct-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-Meta-Llama-3-8B-Instruct-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-Meta-Llama-3-8B-Instruct- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-Meta-Llama-3-8B-Instruct- ]": "passed", @@ -6866,7 +6742,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-Meta-Llama-3-8B-Instruct-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-Meta-Llama-3-8B-Instruct-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-Meta-Llama-3-8B-Instruct-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-Meta-Llama-3-8B-Instruct-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-Meta-Llama-3-8B-Instruct-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-Meta-Llama-3-8B-Instruct-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-Meta-Llama-3-8B-Instruct- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-Meta-Llama-3-8B-Instruct- ]": "passed", @@ -6905,7 +6781,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-Meta-Llama-3-8B-Instruct-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-Meta-Llama-3-8B-Instruct-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-Meta-Llama-3-8B-Instruct-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-Meta-Llama-3-8B-Instruct-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-Meta-Llama-3-8B-Instruct-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-Meta-Llama-3-8B-Instruct-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-Meta-Llama-3-8B-Instruct- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-Meta-Llama-3-8B-Instruct- ]": "passed", @@ -6945,51 +6821,13 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-falcon-7b-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-falcon-7b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-falcon-7b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-falcon-7b-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-falcon-7b-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-falcon-7b-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-falcon-7b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-falcon-7b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-falcon-7b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-falcon-7b-\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-falcon-7b- \\t\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-A lot\\t w!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\U0001f600]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\U0001fae0]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\x06]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-falcon-7b-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-falcon-7b-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-falcon-7b-A lot\\t w!]": "passed", @@ -7021,13 +6859,51 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-falcon-7b-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-falcon-7b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-falcon-7b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-falcon-7b-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-falcon-7b-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-falcon-7b-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-falcon-7b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-falcon-7b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-falcon-7b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-falcon-7b-\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-falcon-7b- \\t\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-A lot\\t w!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\U0001f600]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\U0001fae0]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\x06]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b-\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-falcon-7b- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-falcon-7b-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-falcon-7b-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-falcon-7b-A lot\\t w!]": "passed", @@ -7059,7 +6935,7 @@ "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-falcon-7b-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-falcon-7b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-falcon-7b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-falcon-7b-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-falcon-7b-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-falcon-7b-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-falcon-7b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-falcon-7b- ]": "passed", @@ -7093,7 +6969,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-falcon-7b-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-falcon-7b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-falcon-7b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-falcon-7b-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-falcon-7b-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-falcon-7b-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-falcon-7b- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-falcon-7b- ]": "passed", @@ -7127,7 +7003,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-falcon-7b-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-falcon-7b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-falcon-7b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-falcon-7b-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-falcon-7b-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-falcon-7b-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-falcon-7b- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-falcon-7b- ]": "passed", @@ -7159,58 +7035,20 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\U0001f600]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\U0001fae0]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\x06]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k- \\t\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-A lot\\t w!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\U0001f600]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\U0001fae0]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\x06]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k- \\t\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\U0001f600]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\U0001fae0]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\x06]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-stablecode-completion-alpha-3b-4k-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-stablecode-completion-alpha-3b-4k-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-stablecode-completion-alpha-3b-4k-A lot\\t w!]": "passed", @@ -7242,13 +7080,51 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-stablecode-completion-alpha-3b-4k-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-stablecode-completion-alpha-3b-4k-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-stablecode-completion-alpha-3b-4k-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-stablecode-completion-alpha-3b-4k-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-stablecode-completion-alpha-3b-4k-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-stablecode-completion-alpha-3b-4k-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-stablecode-completion-alpha-3b-4k- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-stablecode-completion-alpha-3b-4k- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-stablecode-completion-alpha-3b-4k- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-stablecode-completion-alpha-3b-4k-\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-stablecode-completion-alpha-3b-4k- \\t\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-A lot\\t w!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\U0001f600]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\U0001fae0]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\x06]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k-\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablecode-completion-alpha-3b-4k- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-stablecode-completion-alpha-3b-4k-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-stablecode-completion-alpha-3b-4k-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-stablecode-completion-alpha-3b-4k-A lot\\t w!]": "passed", @@ -7280,7 +7156,7 @@ "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-stablecode-completion-alpha-3b-4k-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-stablecode-completion-alpha-3b-4k-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-stablecode-completion-alpha-3b-4k-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-stablecode-completion-alpha-3b-4k-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-stablecode-completion-alpha-3b-4k-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-stablecode-completion-alpha-3b-4k-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-stablecode-completion-alpha-3b-4k- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-stablecode-completion-alpha-3b-4k- ]": "passed", @@ -7315,7 +7191,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-stablecode-completion-alpha-3b-4k-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-stablecode-completion-alpha-3b-4k-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-stablecode-completion-alpha-3b-4k-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-stablecode-completion-alpha-3b-4k-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-stablecode-completion-alpha-3b-4k-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-stablecode-completion-alpha-3b-4k-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-stablecode-completion-alpha-3b-4k- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-stablecode-completion-alpha-3b-4k- ]": "passed", @@ -7350,7 +7226,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-stablecode-completion-alpha-3b-4k-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-stablecode-completion-alpha-3b-4k-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-stablecode-completion-alpha-3b-4k-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-stablecode-completion-alpha-3b-4k-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-stablecode-completion-alpha-3b-4k-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-stablecode-completion-alpha-3b-4k-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-stablecode-completion-alpha-3b-4k- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-stablecode-completion-alpha-3b-4k- ]": "passed", @@ -7389,51 +7265,13 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-dolly-v2-3b-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-dolly-v2-3b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-dolly-v2-3b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-dolly-v2-3b-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-dolly-v2-3b-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-dolly-v2-3b-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-dolly-v2-3b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-dolly-v2-3b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-dolly-v2-3b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-dolly-v2-3b-\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-dolly-v2-3b- \\t\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-A lot\\t w!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\U0001f600]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\U0001fae0]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\x06]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-dolly-v2-3b-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-dolly-v2-3b-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-dolly-v2-3b-A lot\\t w!]": "passed", @@ -7465,13 +7303,51 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-dolly-v2-3b-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-dolly-v2-3b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-dolly-v2-3b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-dolly-v2-3b-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-dolly-v2-3b-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-dolly-v2-3b-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-dolly-v2-3b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-dolly-v2-3b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-dolly-v2-3b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-dolly-v2-3b-\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-dolly-v2-3b- \\t\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-A lot\\t w!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\U0001f600]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\U0001fae0]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\x06]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b-\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-dolly-v2-3b- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-dolly-v2-3b-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-dolly-v2-3b-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-dolly-v2-3b-A lot\\t w!]": "passed", @@ -7503,7 +7379,7 @@ "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-dolly-v2-3b-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-dolly-v2-3b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-dolly-v2-3b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-dolly-v2-3b-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-dolly-v2-3b-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-dolly-v2-3b-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-dolly-v2-3b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-dolly-v2-3b- ]": "passed", @@ -7538,7 +7414,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-dolly-v2-3b-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-dolly-v2-3b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-dolly-v2-3b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-dolly-v2-3b-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-dolly-v2-3b-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-dolly-v2-3b-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-dolly-v2-3b- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-dolly-v2-3b- ]": "passed", @@ -7573,7 +7449,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-dolly-v2-3b-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-dolly-v2-3b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-dolly-v2-3b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-dolly-v2-3b-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-dolly-v2-3b-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-dolly-v2-3b-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-dolly-v2-3b- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-dolly-v2-3b- ]": "passed", @@ -7612,51 +7488,13 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate- \\t\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-A lot\\t w!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\U0001f600]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\U0001fae0]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\x06]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-A lot\\t w!]": "passed", @@ -7688,13 +7526,51 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate- \\t\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-A lot\\t w!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\U0001f600]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\U0001fae0]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\x06]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-A lot\\t w!]": "passed", @@ -7726,7 +7602,7 @@ "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-Gemma-2-9b-it-Ko-Crypto-Translate- ]": "passed", @@ -7764,7 +7640,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-Gemma-2-9b-it-Ko-Crypto-Translate-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-Gemma-2-9b-it-Ko-Crypto-Translate-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-Gemma-2-9b-it-Ko-Crypto-Translate-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-Gemma-2-9b-it-Ko-Crypto-Translate-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-Gemma-2-9b-it-Ko-Crypto-Translate-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-Gemma-2-9b-it-Ko-Crypto-Translate-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-Gemma-2-9b-it-Ko-Crypto-Translate- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-Gemma-2-9b-it-Ko-Crypto-Translate- ]": "passed", @@ -7803,7 +7679,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-Gemma-2-9b-it-Ko-Crypto-Translate-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-Gemma-2-9b-it-Ko-Crypto-Translate-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-Gemma-2-9b-it-Ko-Crypto-Translate-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-Gemma-2-9b-it-Ko-Crypto-Translate-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-Gemma-2-9b-it-Ko-Crypto-Translate-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-Gemma-2-9b-it-Ko-Crypto-Translate-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-Gemma-2-9b-it-Ko-Crypto-Translate- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-Gemma-2-9b-it-Ko-Crypto-Translate- ]": "passed", @@ -7828,66 +7704,28 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-Testzeichenfolge?]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-Tester, la cha\\xeene...]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\U0001f600]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\U0001fae0]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\x06]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base- \\t\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-A lot\\t w!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\U0001f600]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\U0001fae0]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\x06]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base- \\t\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\U0001f600]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\U0001fae0]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\x06]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base-\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-roberta-base- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-roberta-base-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-roberta-base-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-roberta-base-A lot\\t w!]": "passed", @@ -7919,13 +7757,51 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-roberta-base-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-roberta-base-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-roberta-base-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-roberta-base-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-roberta-base-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-roberta-base-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-roberta-base- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-roberta-base- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-roberta-base- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-roberta-base-\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-roberta-base- \\t\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-A lot\\t w!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\U0001f600]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\U0001fae0]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\x06]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base-\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-roberta-base- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-roberta-base-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-roberta-base-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-roberta-base-A lot\\t w!]": "passed", @@ -7957,7 +7833,7 @@ "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-roberta-base-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-roberta-base-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-roberta-base-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-roberta-base-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-roberta-base-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-roberta-base-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-roberta-base- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-roberta-base- ]": "passed", @@ -7993,7 +7869,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-roberta-base-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-roberta-base-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-roberta-base-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-roberta-base-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-roberta-base-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-roberta-base-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-roberta-base- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-roberta-base- ]": "passed", @@ -8029,7 +7905,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-roberta-base-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-roberta-base-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-roberta-base-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-roberta-base-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-roberta-base-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-roberta-base-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-roberta-base- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-roberta-base- ]": "passed", @@ -8068,51 +7944,13 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-opt-66b-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-opt-66b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-opt-66b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-opt-66b-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-opt-66b-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-opt-66b-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-opt-66b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-opt-66b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-opt-66b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-opt-66b-\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-opt-66b- \\t\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-A lot\\t w!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\U0001f600]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\U0001fae0]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\x06]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-opt-66b-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-opt-66b-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-opt-66b-A lot\\t w!]": "passed", @@ -8144,13 +7982,51 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-opt-66b-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-opt-66b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-opt-66b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-opt-66b-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-opt-66b-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-opt-66b-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-opt-66b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-opt-66b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-opt-66b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-opt-66b-\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-opt-66b- \\t\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-A lot\\t w!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\U0001f600]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\U0001fae0]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\x06]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b-\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-opt-66b- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-opt-66b-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-opt-66b-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-opt-66b-A lot\\t w!]": "passed", @@ -8182,7 +8058,7 @@ "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-opt-66b-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-opt-66b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-opt-66b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-opt-66b-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-opt-66b-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-opt-66b-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-opt-66b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-opt-66b- ]": "passed", @@ -8218,7 +8094,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-opt-66b-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-opt-66b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-opt-66b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-opt-66b-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-opt-66b-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-opt-66b-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-opt-66b- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-opt-66b- ]": "passed", @@ -8254,7 +8130,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-opt-66b-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-opt-66b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-opt-66b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-opt-66b-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-opt-66b-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-opt-66b-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-opt-66b- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-opt-66b- ]": "passed", @@ -8293,51 +8169,13 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt2-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt2-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt2-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt2-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt2-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt2-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt2- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt2- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt2- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt2-\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt2- \\t\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-A lot\\t w!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\U0001f600]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\U0001fae0]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\x06]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt2-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt2-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt2-A lot\\t w!]": "passed", @@ -8369,13 +8207,51 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt2-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt2-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt2-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt2-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt2-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt2-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt2- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt2- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt2- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt2-\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt2- \\t\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-A lot\\t w!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\U0001f600]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\U0001fae0]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\x06]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2-\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt2- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-gpt2-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-gpt2-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-gpt2-A lot\\t w!]": "passed", @@ -8407,7 +8283,7 @@ "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-gpt2-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-gpt2-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-gpt2-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-gpt2-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-gpt2-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-gpt2-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-gpt2- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-gpt2- ]": "passed", @@ -8443,7 +8319,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-gpt2-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-gpt2-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-gpt2-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-gpt2-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-gpt2-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-gpt2-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-gpt2- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-gpt2- ]": "passed", @@ -8479,7 +8355,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-gpt2-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-gpt2-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-gpt2-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-gpt2-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-gpt2-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-gpt2-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-gpt2- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-gpt2- ]": "passed", @@ -8511,58 +8387,20 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-neox-20b-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-neox-20b-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-neox-20b-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-neox-20b-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-neox-20b-\\U0001f600]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-neox-20b-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-neox-20b-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-neox-20b-\\U0001fae0]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-neox-20b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-neox-20b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-neox-20b-]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-neox-20b-\\x06]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-neox-20b- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-neox-20b- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-neox-20b- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-neox-20b-\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-neox-20b- \\t\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-A lot\\t w!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\U0001f600]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\U0001fae0]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\x06]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b- \\t\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-neox-20b-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-neox-20b-\\U0001f600]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-neox-20b-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-neox-20b-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-neox-20b-\\U0001fae0]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-neox-20b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-neox-20b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-neox-20b-1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-neox-20b-\\x06]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-neox-20b- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-neox-20b- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-neox-20b- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-neox-20b-\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-gpt-neox-20b- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt-neox-20b-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt-neox-20b-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt-neox-20b-A lot\\t w!]": "passed", @@ -8594,13 +8432,51 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt-neox-20b-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt-neox-20b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt-neox-20b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt-neox-20b-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt-neox-20b-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt-neox-20b-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt-neox-20b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt-neox-20b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt-neox-20b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt-neox-20b-\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-gpt-neox-20b- \\t\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-A lot\\t w!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\U0001f600]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\U0001fae0]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\x06]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b-\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-gpt-neox-20b- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-gpt-neox-20b-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-gpt-neox-20b-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-gpt-neox-20b-A lot\\t w!]": "passed", @@ -8632,7 +8508,7 @@ "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-gpt-neox-20b-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-gpt-neox-20b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-gpt-neox-20b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-gpt-neox-20b-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-gpt-neox-20b-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-gpt-neox-20b-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-gpt-neox-20b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-gpt-neox-20b- ]": "passed", @@ -8667,7 +8543,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-gpt-neox-20b-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-gpt-neox-20b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-gpt-neox-20b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-gpt-neox-20b-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-gpt-neox-20b-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-gpt-neox-20b-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-gpt-neox-20b- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-gpt-neox-20b- ]": "passed", @@ -8702,7 +8578,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-gpt-neox-20b-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-gpt-neox-20b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-gpt-neox-20b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-gpt-neox-20b-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-gpt-neox-20b-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-gpt-neox-20b-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-gpt-neox-20b- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-gpt-neox-20b- ]": "passed", @@ -8741,51 +8617,13 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2- \\t\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-A lot\\t w!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\U0001f600]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\U0001fae0]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\x06]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-rugpt3large_based_on_gpt2-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-rugpt3large_based_on_gpt2-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-rugpt3large_based_on_gpt2-A lot\\t w!]": "passed", @@ -8817,13 +8655,51 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-rugpt3large_based_on_gpt2-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-rugpt3large_based_on_gpt2-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-rugpt3large_based_on_gpt2-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-rugpt3large_based_on_gpt2-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-rugpt3large_based_on_gpt2-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-rugpt3large_based_on_gpt2-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-rugpt3large_based_on_gpt2- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-rugpt3large_based_on_gpt2- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-rugpt3large_based_on_gpt2- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-rugpt3large_based_on_gpt2-\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-rugpt3large_based_on_gpt2- \\t\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-A lot\\t w!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\U0001f600]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\U0001fae0]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\x06]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2-\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-rugpt3large_based_on_gpt2- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-rugpt3large_based_on_gpt2-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-rugpt3large_based_on_gpt2-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-rugpt3large_based_on_gpt2-A lot\\t w!]": "passed", @@ -8855,7 +8731,7 @@ "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-rugpt3large_based_on_gpt2-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-rugpt3large_based_on_gpt2-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-rugpt3large_based_on_gpt2-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-rugpt3large_based_on_gpt2-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-rugpt3large_based_on_gpt2-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-rugpt3large_based_on_gpt2-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-rugpt3large_based_on_gpt2- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-rugpt3large_based_on_gpt2- ]": "passed", @@ -8890,7 +8766,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-rugpt3large_based_on_gpt2-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-rugpt3large_based_on_gpt2-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-rugpt3large_based_on_gpt2-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-rugpt3large_based_on_gpt2-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-rugpt3large_based_on_gpt2-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-rugpt3large_based_on_gpt2-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-rugpt3large_based_on_gpt2- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-rugpt3large_based_on_gpt2- ]": "passed", @@ -8925,7 +8801,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-rugpt3large_based_on_gpt2-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-rugpt3large_based_on_gpt2-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-rugpt3large_based_on_gpt2-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-rugpt3large_based_on_gpt2-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-rugpt3large_based_on_gpt2-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-rugpt3large_based_on_gpt2-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-rugpt3large_based_on_gpt2- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-rugpt3large_based_on_gpt2- ]": "passed", @@ -8964,51 +8840,13 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-galactica-120b-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-galactica-120b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-galactica-120b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-galactica-120b-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-galactica-120b-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-galactica-120b-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-galactica-120b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-galactica-120b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-galactica-120b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-galactica-120b-\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-galactica-120b- \\t\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-A lot\\t w!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\U0001f600]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\U0001fae0]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\x06]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-galactica-120b-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-galactica-120b-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-galactica-120b-A lot\\t w!]": "passed", @@ -9040,13 +8878,51 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-galactica-120b-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-galactica-120b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-galactica-120b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-galactica-120b-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-galactica-120b-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-galactica-120b-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-galactica-120b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-galactica-120b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-galactica-120b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-galactica-120b-\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-galactica-120b- \\t\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-A lot\\t w!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\U0001f600]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\U0001fae0]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\x06]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b-\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-galactica-120b- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-galactica-120b-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-galactica-120b-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-galactica-120b-A lot\\t w!]": "passed", @@ -9078,7 +8954,7 @@ "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-galactica-120b-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-galactica-120b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-galactica-120b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-galactica-120b-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-galactica-120b-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-galactica-120b-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-galactica-120b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-galactica-120b- ]": "passed", @@ -9113,7 +8989,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-galactica-120b-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-galactica-120b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-galactica-120b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-galactica-120b-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-galactica-120b-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-galactica-120b-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-galactica-120b- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-galactica-120b- ]": "passed", @@ -9148,7 +9024,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-galactica-120b-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-galactica-120b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-galactica-120b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-galactica-120b-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-galactica-120b-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-galactica-120b-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-galactica-120b- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-galactica-120b- ]": "passed", @@ -9172,66 +9048,28 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-Testzeichenfolge?]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-Tester, la cha\\xeene...]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\U0001f600]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\U0001fae0]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\x06]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base- \\t\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-A lot\\t w!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\U0001f600]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\U0001fae0]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\x06]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base- \\t\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\U0001f600]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\U0001fae0]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\x06]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base-\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deberta-base- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-deberta-base-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-deberta-base-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-deberta-base-A lot\\t w!]": "passed", @@ -9263,13 +9101,51 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-deberta-base-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-deberta-base-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-deberta-base-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-deberta-base-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-deberta-base-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-deberta-base-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-deberta-base- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-deberta-base- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-deberta-base- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-deberta-base-\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-deberta-base- \\t\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-A lot\\t w!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\U0001f600]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\U0001fae0]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\x06]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base-\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deberta-base- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-deberta-base-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-deberta-base-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-deberta-base-A lot\\t w!]": "passed", @@ -9301,7 +9177,7 @@ "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-deberta-base-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-deberta-base-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-deberta-base-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-deberta-base-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-deberta-base-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-deberta-base-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-deberta-base- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-deberta-base- ]": "passed", @@ -9337,7 +9213,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-deberta-base-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-deberta-base-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-deberta-base-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-deberta-base-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-deberta-base-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-deberta-base-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-deberta-base- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-deberta-base- ]": "passed", @@ -9373,7 +9249,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-deberta-base-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-deberta-base-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-deberta-base-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-deberta-base-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-deberta-base-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-deberta-base-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-deberta-base- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-deberta-base- ]": "passed", @@ -9412,51 +9288,13 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-bloom-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-bloom-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-bloom-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-bloom-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-bloom-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-bloom-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-bloom- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-bloom- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-bloom- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-bloom-\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-bloom- \\t\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-A lot\\t w!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\U0001f600]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\U0001fae0]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\x06]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-bloom-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-bloom-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-bloom-A lot\\t w!]": "passed", @@ -9488,13 +9326,51 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-bloom-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-bloom-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-bloom-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-bloom-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-bloom-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-bloom-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-bloom- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-bloom- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-bloom- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-bloom-\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-bloom- \\t\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-A lot\\t w!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\U0001f600]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\U0001fae0]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\x06]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom-\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-bloom- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-bloom-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-bloom-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-bloom-A lot\\t w!]": "passed", @@ -9526,7 +9402,7 @@ "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-bloom-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-bloom-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-bloom-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-bloom-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-bloom-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-bloom-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-bloom- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-bloom- ]": "passed", @@ -9563,7 +9439,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-bloom-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-bloom-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-bloom-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-bloom-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-bloom-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-bloom-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-bloom- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-bloom- ]": "passed", @@ -9600,7 +9476,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-bloom-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-bloom-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-bloom-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-bloom-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-bloom-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-bloom-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-bloom- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-bloom- ]": "passed", @@ -9639,51 +9515,13 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k- \\t\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-A lot\\t w!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\U0001f600]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\U0001fae0]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\x06]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-A lot\\t w!]": "passed", @@ -9715,13 +9553,46 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k- \\t\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-A lot\\t w!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\U0001f600]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\U0001fae0]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-A lot\\t w!]": "passed", @@ -9753,13 +9624,8 @@ "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\x06]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k- \\t\\n]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-CLIP-ViT-bigG-14-laion2B-39B-b160k-Eng... test, string?!]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-CLIP-ViT-bigG-14-laion2B-39B-b160k-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-CLIP-ViT-bigG-14-laion2B-39B-b160k-A lot\\t w!]": "passed", @@ -9791,7 +9657,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-CLIP-ViT-bigG-14-laion2B-39B-b160k-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-CLIP-ViT-bigG-14-laion2B-39B-b160k-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-CLIP-ViT-bigG-14-laion2B-39B-b160k- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-CLIP-ViT-bigG-14-laion2B-39B-b160k- ]": "passed", @@ -9829,7 +9695,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-CLIP-ViT-bigG-14-laion2B-39B-b160k-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-CLIP-ViT-bigG-14-laion2B-39B-b160k-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-CLIP-ViT-bigG-14-laion2B-39B-b160k- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-CLIP-ViT-bigG-14-laion2B-39B-b160k- ]": "passed", @@ -9868,51 +9734,13 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-codegen-16B-multi-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-codegen-16B-multi-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-codegen-16B-multi-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-codegen-16B-multi-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-codegen-16B-multi-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-codegen-16B-multi-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-codegen-16B-multi- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-codegen-16B-multi- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-codegen-16B-multi- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-codegen-16B-multi-\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-codegen-16B-multi- \\t\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-A lot\\t w!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\U0001f600]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\U0001fae0]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\x06]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-codegen-16B-multi-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-codegen-16B-multi-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-codegen-16B-multi-A lot\\t w!]": "passed", @@ -9944,13 +9772,51 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-codegen-16B-multi-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-codegen-16B-multi-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-codegen-16B-multi-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-codegen-16B-multi-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-codegen-16B-multi-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-codegen-16B-multi-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-codegen-16B-multi- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-codegen-16B-multi- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-codegen-16B-multi- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-codegen-16B-multi-\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-codegen-16B-multi- \\t\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-A lot\\t w!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\U0001f600]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\U0001fae0]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\x06]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi-\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-codegen-16B-multi- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-codegen-16B-multi-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-codegen-16B-multi-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-codegen-16B-multi-A lot\\t w!]": "passed", @@ -9982,7 +9848,7 @@ "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-codegen-16B-multi-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-codegen-16B-multi-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-codegen-16B-multi-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-codegen-16B-multi-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-codegen-16B-multi-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-codegen-16B-multi-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-codegen-16B-multi- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-codegen-16B-multi- ]": "passed", @@ -10019,7 +9885,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-codegen-16B-multi-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-codegen-16B-multi-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-codegen-16B-multi-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-codegen-16B-multi-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-codegen-16B-multi-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-codegen-16B-multi-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-codegen-16B-multi- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-codegen-16B-multi- ]": "passed", @@ -10056,7 +9922,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-codegen-16B-multi-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-codegen-16B-multi-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-codegen-16B-multi-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-codegen-16B-multi-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-codegen-16B-multi-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-codegen-16B-multi-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-codegen-16B-multi- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-codegen-16B-multi- ]": "passed", @@ -10095,51 +9961,13 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablelm-2-1_6b-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablelm-2-1_6b-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablelm-2-1_6b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablelm-2-1_6b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablelm-2-1_6b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-stablelm-2-1_6b- \\t\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-A lot\\t w!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\U0001f600]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\U0001fae0]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\x06]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-stablelm-2-1_6b-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-stablelm-2-1_6b-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-stablelm-2-1_6b-A lot\\t w!]": "passed", @@ -10171,13 +9999,51 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-stablelm-2-1_6b-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-stablelm-2-1_6b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-stablelm-2-1_6b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-stablelm-2-1_6b-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-stablelm-2-1_6b-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-stablelm-2-1_6b-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-stablelm-2-1_6b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-stablelm-2-1_6b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-stablelm-2-1_6b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-stablelm-2-1_6b-\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-stablelm-2-1_6b- \\t\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-A lot\\t w!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\U0001f600]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\U0001fae0]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\x06]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b-\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-stablelm-2-1_6b- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-stablelm-2-1_6b-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-stablelm-2-1_6b-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-stablelm-2-1_6b-A lot\\t w!]": "passed", @@ -10209,7 +10075,7 @@ "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-stablelm-2-1_6b-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-stablelm-2-1_6b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-stablelm-2-1_6b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-stablelm-2-1_6b-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-stablelm-2-1_6b-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-stablelm-2-1_6b-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-stablelm-2-1_6b- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-stablelm-2-1_6b- ]": "passed", @@ -10247,7 +10113,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-stablelm-2-1_6b-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-stablelm-2-1_6b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-stablelm-2-1_6b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-stablelm-2-1_6b-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-stablelm-2-1_6b-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-stablelm-2-1_6b-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-stablelm-2-1_6b- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-stablelm-2-1_6b- ]": "passed", @@ -10285,7 +10151,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-stablelm-2-1_6b-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-stablelm-2-1_6b-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-stablelm-2-1_6b-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-stablelm-2-1_6b-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-stablelm-2-1_6b-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-stablelm-2-1_6b-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-stablelm-2-1_6b- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-stablelm-2-1_6b- ]": "passed", @@ -10324,51 +10190,13 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct- \\t\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-A lot\\t w!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\U0001f600]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\U0001fae0]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\x06]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct- ]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\n]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-deepseek-coder-6.7b-instruct-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-deepseek-coder-6.7b-instruct-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-deepseek-coder-6.7b-instruct-A lot\\t w!]": "passed", @@ -10400,13 +10228,51 @@ "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-deepseek-coder-6.7b-instruct-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-deepseek-coder-6.7b-instruct-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-deepseek-coder-6.7b-instruct-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-deepseek-coder-6.7b-instruct-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-deepseek-coder-6.7b-instruct-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-deepseek-coder-6.7b-instruct-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-deepseek-coder-6.7b-instruct- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-deepseek-coder-6.7b-instruct- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-deepseek-coder-6.7b-instruct- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-deepseek-coder-6.7b-instruct-\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[no_skip_tokens-clean_spaces-deepseek-coder-6.7b-instruct- \\t\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-A lot\\t w!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\U0001f600]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\U0001fae0]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-1]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\x06]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct- ]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct-\\n]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-deepseek-coder-6.7b-instruct- \\t\\n]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-deepseek-coder-6.7b-instruct-Eng... test, string?!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-deepseek-coder-6.7b-instruct-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-deepseek-coder-6.7b-instruct-A lot\\t w!]": "passed", @@ -10438,7 +10304,7 @@ "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-deepseek-coder-6.7b-instruct-\\U0001fae0]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-deepseek-coder-6.7b-instruct-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-deepseek-coder-6.7b-instruct-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-deepseek-coder-6.7b-instruct-]": "passed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-deepseek-coder-6.7b-instruct-1]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-deepseek-coder-6.7b-instruct-\\x06]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-deepseek-coder-6.7b-instruct- ]": "passed", "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-deepseek-coder-6.7b-instruct- ]": "passed", @@ -10476,7 +10342,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-deepseek-coder-6.7b-instruct-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-deepseek-coder-6.7b-instruct-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-deepseek-coder-6.7b-instruct-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-deepseek-coder-6.7b-instruct-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-deepseek-coder-6.7b-instruct-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-deepseek-coder-6.7b-instruct-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-deepseek-coder-6.7b-instruct- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-deepseek-coder-6.7b-instruct- ]": "passed", @@ -10514,7 +10380,7 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-deepseek-coder-6.7b-instruct-\\U0001fae0]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-deepseek-coder-6.7b-instruct-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-deepseek-coder-6.7b-instruct-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-deepseek-coder-6.7b-instruct-]": "passed", + "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-deepseek-coder-6.7b-instruct-1]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-deepseek-coder-6.7b-instruct-\\x06]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-deepseek-coder-6.7b-instruct- ]": "passed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-deepseek-coder-6.7b-instruct- ]": "passed", @@ -10553,51 +10419,13 @@ "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\U0001fae0]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-no_clean_spaces-Qwen-14B-Chat-]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-no_clean_spaces-Qwen-14B-Chat-1]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\x06]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-no_clean_spaces-Qwen-14B-Chat- ]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-no_clean_spaces-Qwen-14B-Chat- ]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-no_clean_spaces-Qwen-14B-Chat- ]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\n]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-no_clean_spaces-Qwen-14B-Chat- \\t\\n]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-A lot\\t w!]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\U0001f600]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\U0001fae0]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\x06]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat- ]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat- ]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat- ]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\n]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat- \\t\\n]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-Qwen-14B-Chat-Eng... test, string?!]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-Qwen-14B-Chat-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-Qwen-14B-Chat-A lot\\t w!]": "passed", @@ -10629,13 +10457,51 @@ "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-Qwen-14B-Chat-\\U0001fae0]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-Qwen-14B-Chat-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-Qwen-14B-Chat-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-Qwen-14B-Chat-]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-Qwen-14B-Chat-1]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-Qwen-14B-Chat-\\x06]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-Qwen-14B-Chat- ]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-Qwen-14B-Chat- ]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-Qwen-14B-Chat- ]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-Qwen-14B-Chat-\\n]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-Qwen-14B-Chat- \\t\\n]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-A lot\\t w!]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\U0001f600]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\U0001fae0]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-1]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\x06]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat- ]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat- ]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat- ]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat-\\n]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-Qwen-14B-Chat- \\t\\n]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-clean_spaces-Qwen-14B-Chat-Eng... test, string?!]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-clean_spaces-Qwen-14B-Chat-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-clean_spaces-Qwen-14B-Chat-A lot\\t w!]": "passed", @@ -10667,7 +10533,7 @@ "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-clean_spaces-Qwen-14B-Chat-\\U0001fae0]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-clean_spaces-Qwen-14B-Chat-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-clean_spaces-Qwen-14B-Chat-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-clean_spaces-Qwen-14B-Chat-]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-clean_spaces-Qwen-14B-Chat-1]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-clean_spaces-Qwen-14B-Chat-\\x06]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-clean_spaces-Qwen-14B-Chat- ]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-clean_spaces-Qwen-14B-Chat- ]": "passed", @@ -10705,7 +10571,7 @@ "tokenizers_test.py::test_tiktoken_tokenizers[no_add_tokens-Qwen-14B-Chat-\\U0001fae0]": "passed", "tokenizers_test.py::test_tiktoken_tokenizers[no_add_tokens-Qwen-14B-Chat-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_tiktoken_tokenizers[no_add_tokens-Qwen-14B-Chat-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_tiktoken_tokenizers[no_add_tokens-Qwen-14B-Chat-]": "passed", + "tokenizers_test.py::test_tiktoken_tokenizers[no_add_tokens-Qwen-14B-Chat-1]": "passed", "tokenizers_test.py::test_tiktoken_tokenizers[no_add_tokens-Qwen-14B-Chat-\\x06]": "passed", "tokenizers_test.py::test_tiktoken_tokenizers[no_add_tokens-Qwen-14B-Chat- ]": "passed", "tokenizers_test.py::test_tiktoken_tokenizers[no_add_tokens-Qwen-14B-Chat- ]": "passed", @@ -10743,7 +10609,7 @@ "tokenizers_test.py::test_tiktoken_tokenizers[add_tokens-Qwen-14B-Chat-\\U0001fae0]": "passed", "tokenizers_test.py::test_tiktoken_tokenizers[add_tokens-Qwen-14B-Chat-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_tiktoken_tokenizers[add_tokens-Qwen-14B-Chat-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_tiktoken_tokenizers[add_tokens-Qwen-14B-Chat-]": "passed", + "tokenizers_test.py::test_tiktoken_tokenizers[add_tokens-Qwen-14B-Chat-1]": "passed", "tokenizers_test.py::test_tiktoken_tokenizers[add_tokens-Qwen-14B-Chat-\\x06]": "passed", "tokenizers_test.py::test_tiktoken_tokenizers[add_tokens-Qwen-14B-Chat- ]": "passed", "tokenizers_test.py::test_tiktoken_tokenizers[add_tokens-Qwen-14B-Chat- ]": "passed", @@ -10782,12 +10648,50 @@ "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-no_clean_spaces-glm-4-9b-chat-\\U0001fae0]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-no_clean_spaces-glm-4-9b-chat-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-no_clean_spaces-glm-4-9b-chat-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-no_clean_spaces-glm-4-9b-chat-1]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-no_clean_spaces-glm-4-9b-chat-\\x06]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-no_clean_spaces-glm-4-9b-chat- ]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-no_clean_spaces-glm-4-9b-chat- ]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-no_clean_spaces-glm-4-9b-chat- ]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-no_clean_spaces-glm-4-9b-chat-\\n]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-no_clean_spaces-glm-4-9b-chat- \\t\\n]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-A lot\\t w!]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\U0001f600]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\U0001fae0]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-1]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\x06]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat- ]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat- ]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat- ]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\n]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat- \\t\\n]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-glm-4-9b-chat-Eng... test, string?!]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-glm-4-9b-chat-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-glm-4-9b-chat-A lot\\t w!]": "passed", @@ -10819,49 +10723,13 @@ "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-glm-4-9b-chat-\\U0001fae0]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-glm-4-9b-chat-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-glm-4-9b-chat-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-glm-4-9b-chat-]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-glm-4-9b-chat-1]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-glm-4-9b-chat-\\x06]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-glm-4-9b-chat- ]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-glm-4-9b-chat- ]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-glm-4-9b-chat- ]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-glm-4-9b-chat-\\n]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-no_clean_spaces-glm-4-9b-chat- \\t\\n]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-A lot\\t w!]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\U0001f600]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\U0001fae0]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\x06]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat- ]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat- ]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat- ]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-\\n]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat- \\t\\n]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-clean_spaces-glm-4-9b-chat-Eng... test, string?!]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-clean_spaces-glm-4-9b-chat-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-clean_spaces-glm-4-9b-chat-A lot\\t w!]": "passed", @@ -10892,7 +10760,7 @@ "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-clean_spaces-glm-4-9b-chat-\\U0001fae0]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-clean_spaces-glm-4-9b-chat-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-clean_spaces-glm-4-9b-chat-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-clean_spaces-glm-4-9b-chat-]": "passed", + "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-clean_spaces-glm-4-9b-chat-1]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-clean_spaces-glm-4-9b-chat-\\x06]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-clean_spaces-glm-4-9b-chat- ]": "passed", "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-clean_spaces-glm-4-9b-chat- ]": "passed", @@ -10930,7 +10798,7 @@ "tokenizers_test.py::test_tiktoken_tokenizers[no_add_tokens-glm-4-9b-chat-\\U0001fae0]": "passed", "tokenizers_test.py::test_tiktoken_tokenizers[no_add_tokens-glm-4-9b-chat-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_tiktoken_tokenizers[no_add_tokens-glm-4-9b-chat-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_tiktoken_tokenizers[no_add_tokens-glm-4-9b-chat-]": "passed", + "tokenizers_test.py::test_tiktoken_tokenizers[no_add_tokens-glm-4-9b-chat-1]": "passed", "tokenizers_test.py::test_tiktoken_tokenizers[no_add_tokens-glm-4-9b-chat-\\x06]": "passed", "tokenizers_test.py::test_tiktoken_tokenizers[no_add_tokens-glm-4-9b-chat- ]": "passed", "tokenizers_test.py::test_tiktoken_tokenizers[no_add_tokens-glm-4-9b-chat- ]": "passed", @@ -10969,7 +10837,7 @@ "tokenizers_test.py::test_tiktoken_tokenizers[add_tokens-glm-4-9b-chat-\\U0001fae0]": "passed", "tokenizers_test.py::test_tiktoken_tokenizers[add_tokens-glm-4-9b-chat-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_tiktoken_tokenizers[add_tokens-glm-4-9b-chat-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_tiktoken_tokenizers[add_tokens-glm-4-9b-chat-]": "passed", + "tokenizers_test.py::test_tiktoken_tokenizers[add_tokens-glm-4-9b-chat-1]": "passed", "tokenizers_test.py::test_tiktoken_tokenizers[add_tokens-glm-4-9b-chat-\\x06]": "passed", "tokenizers_test.py::test_tiktoken_tokenizers[add_tokens-glm-4-9b-chat- ]": "passed", "tokenizers_test.py::test_tiktoken_tokenizers[add_tokens-glm-4-9b-chat- ]": "passed", @@ -10978,196 +10846,44 @@ "tokenizers_test.py::test_tiktoken_tokenizers[add_tokens-glm-4-9b-chat- \\t\\n]": "passed", "tokenizers_test.py::test_tiktoken_model_tokenizer_chat[add_tokens-glm-4-9b-chat-test_chat0]": "passed", "tokenizers_test.py::test_rt_info_tiktoken[glm-4-9b-chat]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Slow- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-A lot\\t w!]": "passed", @@ -11199,13 +10915,51 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-A lot\\t w!]": "passed", @@ -11237,13 +10991,127 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Fast- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat-sp_backend-Slow-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat-sp_backend-Slow-A lot\\t w!]": "passed", @@ -11275,7 +11143,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat-sp_backend-Slow- ]": "passed", @@ -11313,7 +11181,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat-sp_backend-Slow-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat-sp_backend-Slow-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat-sp_backend-Slow-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat-sp_backend-Slow- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat-sp_backend-Slow- ]": "passed", @@ -11321,81 +11189,6 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat-sp_backend-Slow-\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat-sp_backend-Slow- \\t\\n]": "passed", "tokenizers_test.py::test_rt_info_sentencepiece[Baichuan2-7B-Chat-sp_backend-Slow]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- \\t\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Eng... test, string?!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-A lot\\t w!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-What is OpenVINO?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Testzeichenfolge?]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f600]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001fae0]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\x06]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\n]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- \\t\\n]": "passed", - "tokenizers_test.py::test_rt_info_sentencepiece[TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0--Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0--Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0--Fast-A lot\\t w!]": "passed", @@ -11427,7 +11220,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0--Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0--Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0--Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0--Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0--Fast- ]": "passed", @@ -11466,7 +11259,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0--Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0--Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0--Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0--Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0--Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0--Fast- ]": "passed", @@ -11475,6 +11268,81 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0--Fast- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-TinyLlama-1.1B-Chat-v1.0--Fast-test_chat0]": "passed", "tokenizers_test.py::test_rt_info_sentencepiece[TinyLlama-1.1B-Chat-v1.0--Fast]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- \\t\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Eng... test, string?!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Multiline\\nstring!\\nWow!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-A lot\\t w!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-A lot\\t\\tof whitespaces!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-What is OpenVINO?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Testzeichenfolge?]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-Tester, la cha\\xeene...]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f600]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001fae0]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-1]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\x06]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- ]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-\\n]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow- \\t\\n]": "passed", + "tokenizers_test.py::test_rt_info_sentencepiece[TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-Eng... test, string?!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-A lot\\t w!]": "passed", @@ -11506,7 +11374,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast- ]": "passed", @@ -11545,7 +11413,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\U0001fae0]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "passed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-]": "passed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-1]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-\\x06]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast- ]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast- ]": "passed", @@ -11554,22 +11422,22 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast- \\t\\n]": "passed", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast-test_chat0]": "passed", "tokenizers_test.py::test_rt_info_sentencepiece[TinyLlama-1.1B-Chat-v1.0-sp_backend-Fast]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad-sp_backend-Slow-test_string0]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad-sp_backend-Slow-test_string1]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad-sp_backend-Slow-test_string2]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad-sp_backend-Slow-test_string3]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad-sp_backend-Slow-test_string0]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad-sp_backend-Slow-test_string1]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad-sp_backend-Slow-test_string2]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad-sp_backend-Slow-test_string3]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad-sp_backend-Slow-test_string0]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad-sp_backend-Slow-test_string1]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad-sp_backend-Slow-test_string2]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad-sp_backend-Slow-test_string3]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad-sp_backend-Slow-test_string0]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad-sp_backend-Slow-test_string1]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad-sp_backend-Slow-test_string2]": "passed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad-sp_backend-Slow-test_string3]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad--Fast-test_string0]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad--Fast-test_string1]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad--Fast-test_string2]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad--Fast-test_string3]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad--Fast-test_string0]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad--Fast-test_string1]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad--Fast-test_string2]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-right_pad--Fast-test_string3]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad--Fast-test_string0]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad--Fast-test_string1]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad--Fast-test_string2]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad--Fast-test_string3]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad--Fast-test_string0]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad--Fast-test_string1]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad--Fast-test_string2]": "passed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-TinyLlama-1.1B-Chat-v1.0-left_pad--Fast-test_string3]": "passed", "tokenizers_test.py::test_rt_info_wordpiece[rubert-tiny2]": "passed", "tokenizers_test.py::test_rt_info_wordpiece[bert-base-multilingual-cased]": "passed", "tokenizers_test.py::test_streaming_detokenizer[open_llama_3b_v2]": "passed", @@ -12121,7 +11989,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0--Slow- ]": "skipped", @@ -12160,7 +12028,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-TinyLlama-1.1B-Chat-v1.0--Slow- ]": "skipped", @@ -12199,7 +12067,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow- ]": "skipped", @@ -12237,7 +12105,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow- ]": "skipped", @@ -12261,179 +12129,179 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-Tester, la cha\\xeene...]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001f600]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001fae0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\x06]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast- \\t\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Eng... test, string?!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-A lot\\t w!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-What is OpenVINO?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Testzeichenfolge?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Tester, la cha\\xeene...]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f600]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001fae0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\x06]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast- \\t\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-Eng... test, string?!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-Multiline\\nstring!\\nWow!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-A lot\\t w!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-A lot\\t\\tof whitespaces!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-What is OpenVINO?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-Testzeichenfolge?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-Tester, la cha\\xeene...]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\U0001f600]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\U0001fae0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\x06]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow- \\t\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-Eng... test, string?!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-Multiline\\nstring!\\nWow!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-A lot\\t w!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-A lot\\t\\tof whitespaces!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-What is OpenVINO?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-Testzeichenfolge?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-Tester, la cha\\xeene...]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001f600]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001fae0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\x06]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast- \\t\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Eng... test, string?!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-A lot\\t w!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-What is OpenVINO?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Testzeichenfolge?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Tester, la cha\\xeene...]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f600]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001fae0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\x06]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001f600]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001fae0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\x06]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Eng... test, string?!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-A lot\\t w!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-What is OpenVINO?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Testzeichenfolge?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Tester, la cha\\xeene...]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f600]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001fae0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\x06]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-Eng... test, string?!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-Multiline\\nstring!\\nWow!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-A lot\\t w!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-A lot\\t\\tof whitespaces!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-What is OpenVINO?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-Testzeichenfolge?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-Tester, la cha\\xeene...]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\U0001f600]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\U0001fae0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\x06]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-Eng... test, string?!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-Multiline\\nstring!\\nWow!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-A lot\\t w!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-A lot\\t\\tof whitespaces!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-What is OpenVINO?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-Testzeichenfolge?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-Tester, la cha\\xeene...]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001f600]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001fae0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\x06]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Eng... test, string?!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-A lot\\t w!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-What is OpenVINO?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Testzeichenfolge?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Tester, la cha\\xeene...]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f600]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001fae0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\x06]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-Eng... test, string?!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-Multiline\\nstring!\\nWow!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-A lot\\t w!]": "skipped", @@ -12465,7 +12333,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow- ]": "skipped", @@ -12503,7 +12371,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast- ]": "skipped", @@ -12541,7 +12409,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast- ]": "skipped", @@ -12579,7 +12447,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow- ]": "skipped", @@ -12617,7 +12485,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base--Slow- ]": "skipped", @@ -12655,89 +12523,13 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base--Fast-\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base--Fast- \\t\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-Eng... test, string?!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-Multiline\\nstring!\\nWow!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-A lot\\t w!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-A lot\\t\\tof whitespaces!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-What is OpenVINO?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-Testzeichenfolge?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-Tester, la cha\\xeene...]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\U0001f600]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\U0001fae0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\x06]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow- \\t\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-Eng... test, string?!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-Multiline\\nstring!\\nWow!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-A lot\\t w!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-A lot\\t\\tof whitespaces!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-What is OpenVINO?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-Testzeichenfolge?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-Tester, la cha\\xeene...]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\U0001f600]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\U0001fae0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\x06]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base--Slow-Eng... test, string?!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base--Slow-Multiline\\nstring!\\nWow!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base--Slow-A lot\\t w!]": "skipped", @@ -12769,7 +12561,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base--Slow- ]": "skipped", @@ -12807,13 +12599,89 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base--Fast-\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base--Fast- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-Eng... test, string?!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-Multiline\\nstring!\\nWow!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-A lot\\t w!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-A lot\\t\\tof whitespaces!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-What is OpenVINO?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-Testzeichenfolge?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-Tester, la cha\\xeene...]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\U0001f600]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\U0001fae0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\x06]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Slow- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-Eng... test, string?!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-Multiline\\nstring!\\nWow!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-A lot\\t w!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-A lot\\t\\tof whitespaces!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-What is OpenVINO?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-Testzeichenfolge?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-Tester, la cha\\xeene...]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\U0001f600]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\U0001fae0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\x06]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base--Fast- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base--Slow-Eng... test, string?!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base--Slow-Multiline\\nstring!\\nWow!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base--Slow-A lot\\t w!]": "skipped", @@ -12845,7 +12713,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base--Slow- ]": "skipped", @@ -12883,7 +12751,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base--Fast- ]": "skipped", @@ -12921,7 +12789,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base--Slow- ]": "skipped", @@ -12960,7 +12828,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base--Slow- ]": "skipped", @@ -12969,8 +12837,6 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base--Slow- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-camembert-base--Slow-test_chat0]": "skipped", "tokenizers_test.py::test_rt_info_sentencepiece[camembert-base--Slow]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[no_add_tokens-camembert-base-sp_backend-Slow-test_chat0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-camembert-base-sp_backend-Slow-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base--Fast-Eng... test, string?!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base--Fast-Multiline\\nstring!\\nWow!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base--Fast-A lot\\t w!]": "skipped", @@ -13002,7 +12868,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base--Fast- ]": "skipped", @@ -13041,7 +12907,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base--Fast- ]": "skipped", @@ -13050,6 +12916,8 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base--Fast- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-camembert-base--Fast-test_chat0]": "skipped", "tokenizers_test.py::test_rt_info_sentencepiece[camembert-base--Fast]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[no_add_tokens-camembert-base-sp_backend-Slow-test_chat0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-camembert-base-sp_backend-Slow-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[no_add_tokens-camembert-base-sp_backend-Fast-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-camembert-base-sp_backend-Fast-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-Eng... test, string?!]": "skipped", @@ -13083,51 +12951,13 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow- \\t\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-Eng... test, string?!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-Multiline\\nstring!\\nWow!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-A lot\\t w!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-A lot\\t\\tof whitespaces!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-What is OpenVINO?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-Testzeichenfolge?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-Tester, la cha\\xeene...]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\U0001f600]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\U0001fae0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\x06]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf--Slow-Eng... test, string?!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf--Slow-Multiline\\nstring!\\nWow!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf--Slow-A lot\\t w!]": "skipped", @@ -13159,13 +12989,51 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf--Slow-\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Llama-2-13b-hf--Slow- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-Eng... test, string?!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-Multiline\\nstring!\\nWow!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-A lot\\t w!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-A lot\\t\\tof whitespaces!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-What is OpenVINO?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-Testzeichenfolge?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-Tester, la cha\\xeene...]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\U0001f600]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\U0001fae0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\x06]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Llama-2-13b-hf--Slow- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf--Slow-Eng... test, string?!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf--Slow-Multiline\\nstring!\\nWow!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf--Slow-A lot\\t w!]": "skipped", @@ -13197,7 +13065,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Llama-2-13b-hf--Slow- ]": "skipped", @@ -13235,7 +13103,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf--Slow- ]": "skipped", @@ -13274,7 +13142,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf--Slow- ]": "skipped", @@ -13283,10 +13151,10 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf--Slow- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-Llama-2-13b-hf--Slow-test_chat0]": "skipped", "tokenizers_test.py::test_rt_info_sentencepiece[Llama-2-13b-hf--Slow]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-test_chat0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-Llama-2-13b-hf-sp_backend-Slow-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[no_add_tokens-Llama-2-13b-hf--Fast-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-Llama-2-13b-hf--Fast-test_chat0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-test_chat0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-Llama-2-13b-hf-sp_backend-Slow-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[no_add_tokens-Llama-2-13b-hf-sp_backend-Fast-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-Llama-2-13b-hf-sp_backend-Fast-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-Eng... test, string?!]": "skipped", @@ -13320,127 +13188,51 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Slow- \\t\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-Eng... test, string?!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-Multiline\\nstring!\\nWow!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-A lot\\t w!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-A lot\\t\\tof whitespaces!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-What is OpenVINO?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-Testzeichenfolge?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-Tester, la cha\\xeene...]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\U0001f600]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\U0001fae0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\x06]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast- \\t\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-Eng... test, string?!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-Multiline\\nstring!\\nWow!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-A lot\\t w!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-A lot\\t\\tof whitespaces!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-What is OpenVINO?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-Testzeichenfolge?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-Tester, la cha\\xeene...]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\U0001f600]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\U0001fae0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\x06]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow- \\t\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-Eng... test, string?!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-Multiline\\nstring!\\nWow!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-A lot\\t w!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-A lot\\t\\tof whitespaces!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-What is OpenVINO?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-Testzeichenfolge?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-Tester, la cha\\xeene...]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\U0001f600]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\U0001fae0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\x06]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Slow- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-Eng... test, string?!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-Multiline\\nstring!\\nWow!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-A lot\\t w!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-A lot\\t\\tof whitespaces!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-What is OpenVINO?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-Testzeichenfolge?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-Tester, la cha\\xeene...]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\U0001f600]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\U0001fae0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\x06]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlm-roberta-base--Fast- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base--Slow-Eng... test, string?!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base--Slow-Multiline\\nstring!\\nWow!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base--Slow-A lot\\t w!]": "skipped", @@ -13472,7 +13264,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base--Slow- ]": "skipped", @@ -13510,13 +13302,89 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base--Fast-\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlm-roberta-base--Fast- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-Eng... test, string?!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-Multiline\\nstring!\\nWow!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-A lot\\t w!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-A lot\\t\\tof whitespaces!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-What is OpenVINO?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-Testzeichenfolge?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-Tester, la cha\\xeene...]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\U0001f600]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\U0001fae0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\x06]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Slow- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-Eng... test, string?!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-Multiline\\nstring!\\nWow!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-A lot\\t w!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-A lot\\t\\tof whitespaces!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-What is OpenVINO?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-Testzeichenfolge?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-Tester, la cha\\xeene...]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\U0001f600]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\U0001fae0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\x06]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base--Fast- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base--Slow-Eng... test, string?!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base--Slow-Multiline\\nstring!\\nWow!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base--Slow-A lot\\t w!]": "skipped", @@ -13548,7 +13416,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base--Slow- ]": "skipped", @@ -13586,7 +13454,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base--Fast- ]": "skipped", @@ -13624,7 +13492,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base--Slow- ]": "skipped", @@ -13663,7 +13531,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base--Slow- ]": "skipped", @@ -13672,8 +13540,6 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base--Slow- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-xlm-roberta-base--Slow-test_chat0]": "skipped", "tokenizers_test.py::test_rt_info_sentencepiece[xlm-roberta-base--Slow]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[no_add_tokens-xlm-roberta-base-sp_backend-Slow-test_chat0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-xlm-roberta-base-sp_backend-Slow-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base--Fast-Eng... test, string?!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base--Fast-Multiline\\nstring!\\nWow!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base--Fast-A lot\\t w!]": "skipped", @@ -13705,7 +13571,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base--Fast- ]": "skipped", @@ -13744,7 +13610,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base--Fast- ]": "skipped", @@ -13753,6 +13619,8 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base--Fast- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-xlm-roberta-base--Fast-test_chat0]": "skipped", "tokenizers_test.py::test_rt_info_sentencepiece[xlm-roberta-base--Fast]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[no_add_tokens-xlm-roberta-base-sp_backend-Slow-test_chat0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-xlm-roberta-base-sp_backend-Slow-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[no_add_tokens-xlm-roberta-base-sp_backend-Fast-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-xlm-roberta-base-sp_backend-Fast-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-Eng... test, string?!]": "skipped", @@ -13765,148 +13633,72 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-What is OpenVINO?]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-Testzeichenfolge?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-Tester, la cha\\xeene...]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\U0001f600]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\U0001fae0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\x06]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow- \\t\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-Eng... test, string?!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-Multiline\\nstring!\\nWow!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-A lot\\t w!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-A lot\\t\\tof whitespaces!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-What is OpenVINO?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-Testzeichenfolge?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-Tester, la cha\\xeene...]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\U0001f600]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\U0001fae0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\x06]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast- \\t\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-Eng... test, string?!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-Multiline\\nstring!\\nWow!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-A lot\\t w!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-A lot\\t\\tof whitespaces!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-What is OpenVINO?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-Testzeichenfolge?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-Tester, la cha\\xeene...]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\U0001f600]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\U0001fae0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\x06]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow- \\t\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-Eng... test, string?!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-Multiline\\nstring!\\nWow!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-A lot\\t w!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-A lot\\t\\tof whitespaces!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-What is OpenVINO?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-Testzeichenfolge?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-Tester, la cha\\xeene...]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\U0001f600]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\U0001fae0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\x06]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-Testzeichenfolge?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-Tester, la cha\\xeene...]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\U0001f600]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\U0001fae0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\x06]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Slow- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-Eng... test, string?!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-Multiline\\nstring!\\nWow!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-A lot\\t w!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-A lot\\t\\tof whitespaces!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-What is OpenVINO?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-Testzeichenfolge?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-Tester, la cha\\xeene...]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\U0001f600]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\U0001fae0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\x06]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-deberta-v3-base--Fast- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base--Slow-Eng... test, string?!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base--Slow-Multiline\\nstring!\\nWow!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base--Slow-A lot\\t w!]": "skipped", @@ -13938,7 +13730,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base--Slow- ]": "skipped", @@ -13976,13 +13768,89 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base--Fast-\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-deberta-v3-base--Fast- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-Eng... test, string?!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-Multiline\\nstring!\\nWow!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-A lot\\t w!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-A lot\\t\\tof whitespaces!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-What is OpenVINO?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-Testzeichenfolge?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-Tester, la cha\\xeene...]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\U0001f600]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\U0001fae0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\x06]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Slow- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-Eng... test, string?!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-Multiline\\nstring!\\nWow!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-A lot\\t w!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-A lot\\t\\tof whitespaces!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-What is OpenVINO?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-Testzeichenfolge?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-Tester, la cha\\xeene...]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\U0001f600]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\U0001fae0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\x06]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base--Fast- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base--Slow-Eng... test, string?!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base--Slow-Multiline\\nstring!\\nWow!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base--Slow-A lot\\t w!]": "skipped", @@ -14014,7 +13882,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base--Slow- ]": "skipped", @@ -14052,7 +13920,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base--Fast- ]": "skipped", @@ -14090,7 +13958,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base--Slow- ]": "skipped", @@ -14129,7 +13997,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base--Slow- ]": "skipped", @@ -14138,8 +14006,6 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base--Slow- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-deberta-v3-base--Slow-test_chat0]": "skipped", "tokenizers_test.py::test_rt_info_sentencepiece[deberta-v3-base--Slow]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[no_add_tokens-deberta-v3-base-sp_backend-Slow-test_chat0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-deberta-v3-base-sp_backend-Slow-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base--Fast-Eng... test, string?!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base--Fast-Multiline\\nstring!\\nWow!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base--Fast-A lot\\t w!]": "skipped", @@ -14171,7 +14037,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-deberta-v3-base--Fast- ]": "skipped", @@ -14210,7 +14076,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base--Fast- ]": "skipped", @@ -14219,6 +14085,8 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-deberta-v3-base--Fast- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-deberta-v3-base--Fast-test_chat0]": "skipped", "tokenizers_test.py::test_rt_info_sentencepiece[deberta-v3-base--Fast]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[no_add_tokens-deberta-v3-base-sp_backend-Slow-test_chat0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-deberta-v3-base-sp_backend-Slow-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[no_add_tokens-deberta-v3-base-sp_backend-Fast-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-deberta-v3-base-sp_backend-Fast-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-Eng... test, string?!]": "skipped", @@ -14252,127 +14120,51 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Slow- \\t\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-Eng... test, string?!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-Multiline\\nstring!\\nWow!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-A lot\\t w!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-A lot\\t\\tof whitespaces!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-What is OpenVINO?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-Testzeichenfolge?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-Tester, la cha\\xeene...]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\U0001f600]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\U0001fae0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\x06]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast- \\t\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-Eng... test, string?!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-Multiline\\nstring!\\nWow!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-A lot\\t w!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-A lot\\t\\tof whitespaces!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-What is OpenVINO?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-Testzeichenfolge?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-Tester, la cha\\xeene...]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\U0001f600]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\U0001fae0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\x06]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow- \\t\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-Eng... test, string?!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-Multiline\\nstring!\\nWow!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-A lot\\t w!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-A lot\\t\\tof whitespaces!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-What is OpenVINO?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-Testzeichenfolge?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-Tester, la cha\\xeene...]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\U0001f600]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\U0001fae0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\x06]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Slow- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-Eng... test, string?!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-Multiline\\nstring!\\nWow!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-A lot\\t w!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-A lot\\t\\tof whitespaces!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-What is OpenVINO?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-Testzeichenfolge?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-Tester, la cha\\xeene...]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\U0001f600]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\U0001fae0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\x06]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased--Fast- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased--Slow-Eng... test, string?!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased--Slow-Multiline\\nstring!\\nWow!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased--Slow-A lot\\t w!]": "skipped", @@ -14404,7 +14196,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased--Slow- ]": "skipped", @@ -14442,13 +14234,89 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased--Fast-\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased--Fast- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-Eng... test, string?!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-Multiline\\nstring!\\nWow!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-A lot\\t w!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-A lot\\t\\tof whitespaces!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-What is OpenVINO?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-Testzeichenfolge?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-Tester, la cha\\xeene...]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\U0001f600]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\U0001fae0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\x06]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Slow- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-Eng... test, string?!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-Multiline\\nstring!\\nWow!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-A lot\\t w!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-A lot\\t\\tof whitespaces!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-What is OpenVINO?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-Testzeichenfolge?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-Tester, la cha\\xeene...]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\U0001f600]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\U0001fae0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\x06]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased--Fast- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased--Slow-Eng... test, string?!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased--Slow-Multiline\\nstring!\\nWow!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased--Slow-A lot\\t w!]": "skipped", @@ -14480,7 +14348,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased--Slow- ]": "skipped", @@ -14518,7 +14386,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased--Fast- ]": "skipped", @@ -14556,7 +14424,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased--Slow- ]": "skipped", @@ -14595,7 +14463,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased--Slow- ]": "skipped", @@ -14604,8 +14472,6 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased--Slow- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-xlnet-base-cased--Slow-test_chat0]": "skipped", "tokenizers_test.py::test_rt_info_sentencepiece[xlnet-base-cased--Slow]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[no_add_tokens-xlnet-base-cased-sp_backend-Slow-test_chat0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-xlnet-base-cased-sp_backend-Slow-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased--Fast-Eng... test, string?!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased--Fast-Multiline\\nstring!\\nWow!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased--Fast-A lot\\t w!]": "skipped", @@ -14637,7 +14503,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased--Fast- ]": "skipped", @@ -14676,7 +14542,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased--Fast- ]": "skipped", @@ -14685,6 +14551,8 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased--Fast- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-xlnet-base-cased--Fast-test_chat0]": "skipped", "tokenizers_test.py::test_rt_info_sentencepiece[xlnet-base-cased--Fast]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[no_add_tokens-xlnet-base-cased-sp_backend-Slow-test_chat0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-xlnet-base-cased-sp_backend-Slow-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[no_add_tokens-xlnet-base-cased-sp_backend-Fast-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-xlnet-base-cased-sp_backend-Fast-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-Eng... test, string?!]": "skipped", @@ -14697,148 +14565,72 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-What is OpenVINO?]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-Testzeichenfolge?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-Tester, la cha\\xeene...]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\U0001f600]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\U0001fae0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\x06]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow- \\t\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-Eng... test, string?!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-Multiline\\nstring!\\nWow!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-A lot\\t w!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-A lot\\t\\tof whitespaces!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-What is OpenVINO?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-Testzeichenfolge?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-Tester, la cha\\xeene...]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\U0001f600]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\U0001fae0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\x06]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast- \\t\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-Eng... test, string?!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-Multiline\\nstring!\\nWow!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-A lot\\t w!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-A lot\\t\\tof whitespaces!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-What is OpenVINO?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-Testzeichenfolge?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-Tester, la cha\\xeene...]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\U0001f600]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\U0001fae0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\x06]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow- \\t\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-Eng... test, string?!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-Multiline\\nstring!\\nWow!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-A lot\\t w!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-A lot\\t\\tof whitespaces!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-What is OpenVINO?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-Testzeichenfolge?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-Tester, la cha\\xeene...]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\U0001f600]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\U0001fae0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\x06]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-Testzeichenfolge?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-Tester, la cha\\xeene...]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\U0001f600]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\U0001fae0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\x06]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Slow- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-Eng... test, string?!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-Multiline\\nstring!\\nWow!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-A lot\\t w!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-A lot\\t\\tof whitespaces!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-What is OpenVINO?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-Testzeichenfolge?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-Tester, la cha\\xeene...]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\U0001f600]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\U0001fae0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\x06]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base--Fast- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base--Slow-Eng... test, string?!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base--Slow-Multiline\\nstring!\\nWow!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base--Slow-A lot\\t w!]": "skipped", @@ -14870,7 +14662,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base--Slow- ]": "skipped", @@ -14908,13 +14700,89 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base--Fast-\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base--Fast- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-Eng... test, string?!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-Multiline\\nstring!\\nWow!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-A lot\\t w!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-A lot\\t\\tof whitespaces!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-What is OpenVINO?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-Testzeichenfolge?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-Tester, la cha\\xeene...]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\U0001f600]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\U0001fae0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\x06]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Slow- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-Eng... test, string?!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-Multiline\\nstring!\\nWow!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-A lot\\t w!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-A lot\\t\\tof whitespaces!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-What is OpenVINO?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-Testzeichenfolge?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-Tester, la cha\\xeene...]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\U0001f600]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\U0001fae0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\x06]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base--Fast- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base--Slow-Eng... test, string?!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base--Slow-Multiline\\nstring!\\nWow!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base--Slow-A lot\\t w!]": "skipped", @@ -14946,7 +14814,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base--Slow- ]": "skipped", @@ -14984,7 +14852,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base--Fast- ]": "skipped", @@ -15022,7 +14890,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base--Slow- ]": "skipped", @@ -15061,7 +14929,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base--Slow- ]": "skipped", @@ -15070,8 +14938,6 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base--Slow- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-t5-base--Slow-test_chat0]": "skipped", "tokenizers_test.py::test_rt_info_sentencepiece[t5-base--Slow]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[no_add_tokens-t5-base-sp_backend-Slow-test_chat0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-t5-base-sp_backend-Slow-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base--Fast-Eng... test, string?!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base--Fast-Multiline\\nstring!\\nWow!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base--Fast-A lot\\t w!]": "skipped", @@ -15103,7 +14969,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-t5-base--Fast- ]": "skipped", @@ -15142,7 +15008,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base--Fast- ]": "skipped", @@ -15151,6 +15017,8 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-t5-base--Fast- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-t5-base--Fast-test_chat0]": "skipped", "tokenizers_test.py::test_rt_info_sentencepiece[t5-base--Fast]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[no_add_tokens-t5-base-sp_backend-Slow-test_chat0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-t5-base-sp_backend-Slow-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[no_add_tokens-t5-base-sp_backend-Fast-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-t5-base-sp_backend-Fast-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small--Slow-Eng... test, string?!]": "skipped", @@ -15184,7 +15052,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small--Slow- ]": "skipped", @@ -15222,89 +15090,13 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small--Fast-\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small--Fast- \\t\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-Eng... test, string?!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-Multiline\\nstring!\\nWow!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-A lot\\t w!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-A lot\\t\\tof whitespaces!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-What is OpenVINO?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-Testzeichenfolge?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-Tester, la cha\\xeene...]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\U0001f600]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\U0001fae0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\x06]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow- \\t\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-Eng... test, string?!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-Multiline\\nstring!\\nWow!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-A lot\\t w!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-A lot\\t\\tof whitespaces!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-What is OpenVINO?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-Testzeichenfolge?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-Tester, la cha\\xeene...]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\U0001f600]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\U0001fae0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\x06]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small--Slow-Eng... test, string?!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small--Slow-Multiline\\nstring!\\nWow!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small--Slow-A lot\\t w!]": "skipped", @@ -15336,7 +15128,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small--Slow- ]": "skipped", @@ -15374,13 +15166,89 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small--Fast-\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small--Fast- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-Eng... test, string?!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-Multiline\\nstring!\\nWow!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-A lot\\t w!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-A lot\\t\\tof whitespaces!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-What is OpenVINO?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-Testzeichenfolge?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-Tester, la cha\\xeene...]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\U0001f600]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\U0001fae0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\x06]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Slow- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-Eng... test, string?!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-Multiline\\nstring!\\nWow!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-A lot\\t w!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-A lot\\t\\tof whitespaces!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-What is OpenVINO?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-Testzeichenfolge?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-Tester, la cha\\xeene...]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\U0001f600]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\U0001fae0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\x06]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small--Fast- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small--Slow-Eng... test, string?!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small--Slow-Multiline\\nstring!\\nWow!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small--Slow-A lot\\t w!]": "skipped", @@ -15412,7 +15280,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small--Slow- ]": "skipped", @@ -15450,7 +15318,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small--Fast- ]": "skipped", @@ -15488,7 +15356,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small--Slow- ]": "skipped", @@ -15527,7 +15395,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small--Slow- ]": "skipped", @@ -15536,8 +15404,6 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small--Slow- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-musicgen-small--Slow-test_chat0]": "skipped", "tokenizers_test.py::test_rt_info_sentencepiece[musicgen-small--Slow]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[no_add_tokens-musicgen-small-sp_backend-Slow-test_chat0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-musicgen-small-sp_backend-Slow-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small--Fast-Eng... test, string?!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small--Fast-Multiline\\nstring!\\nWow!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small--Fast-A lot\\t w!]": "skipped", @@ -15569,7 +15435,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-musicgen-small--Fast- ]": "skipped", @@ -15608,7 +15474,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small--Fast- ]": "skipped", @@ -15617,6 +15483,8 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small--Fast- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-musicgen-small--Fast-test_chat0]": "skipped", "tokenizers_test.py::test_rt_info_sentencepiece[musicgen-small--Fast]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[no_add_tokens-musicgen-small-sp_backend-Slow-test_chat0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-musicgen-small-sp_backend-Slow-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[no_add_tokens-musicgen-small-sp_backend-Fast-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-musicgen-small-sp_backend-Fast-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-Eng... test, string?!]": "skipped", @@ -15650,7 +15518,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow- ]": "skipped", @@ -15688,89 +15556,13 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast- \\t\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-Eng... test, string?!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-Multiline\\nstring!\\nWow!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-A lot\\t w!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-A lot\\t\\tof whitespaces!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-What is OpenVINO?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-Testzeichenfolge?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-Tester, la cha\\xeene...]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\U0001f600]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\U0001fae0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\x06]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow- \\t\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-Eng... test, string?!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-Multiline\\nstring!\\nWow!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-A lot\\t w!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-A lot\\t\\tof whitespaces!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-What is OpenVINO?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-Testzeichenfolge?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-Tester, la cha\\xeene...]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\U0001f600]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\U0001fae0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\x06]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Slow-Eng... test, string?!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Slow-Multiline\\nstring!\\nWow!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Slow-A lot\\t w!]": "skipped", @@ -15802,7 +15594,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Slow- ]": "skipped", @@ -15840,13 +15632,89 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Fast-\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Fast- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-Eng... test, string?!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-Multiline\\nstring!\\nWow!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-A lot\\t w!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-A lot\\t\\tof whitespaces!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-What is OpenVINO?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-Testzeichenfolge?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-Tester, la cha\\xeene...]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\U0001f600]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\U0001fae0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\x06]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Slow- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-Eng... test, string?!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-Multiline\\nstring!\\nWow!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-A lot\\t w!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-A lot\\t\\tof whitespaces!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-What is OpenVINO?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-Testzeichenfolge?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-Tester, la cha\\xeene...]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\U0001f600]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\U0001fae0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\x06]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b--Fast- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Slow-Eng... test, string?!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Slow-Multiline\\nstring!\\nWow!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Slow-A lot\\t w!]": "skipped", @@ -15878,7 +15746,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Slow- ]": "skipped", @@ -15916,7 +15784,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b--Fast- ]": "skipped", @@ -15954,7 +15822,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b--Slow- ]": "skipped", @@ -15993,7 +15861,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b--Slow- ]": "skipped", @@ -16002,8 +15870,6 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b--Slow- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-bilingual-gpt-neox-4b--Slow-test_chat0]": "skipped", "tokenizers_test.py::test_rt_info_sentencepiece[bilingual-gpt-neox-4b--Slow]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Slow-test_chat0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-bilingual-gpt-neox-4b-sp_backend-Slow-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b--Fast-Eng... test, string?!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b--Fast-Multiline\\nstring!\\nWow!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b--Fast-A lot\\t w!]": "skipped", @@ -16035,7 +15901,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b--Fast- ]": "skipped", @@ -16074,7 +15940,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b--Fast- ]": "skipped", @@ -16083,6 +15949,8 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b--Fast- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-bilingual-gpt-neox-4b--Fast-test_chat0]": "skipped", "tokenizers_test.py::test_rt_info_sentencepiece[bilingual-gpt-neox-4b--Fast]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Slow-test_chat0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-bilingual-gpt-neox-4b-sp_backend-Slow-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-Eng... test, string?!]": "skipped", @@ -16116,51 +15984,13 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow- \\t\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-Eng... test, string?!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-Multiline\\nstring!\\nWow!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-A lot\\t w!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-A lot\\t\\tof whitespaces!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-What is OpenVINO?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-Testzeichenfolge?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-Tester, la cha\\xeene...]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\U0001f600]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\U0001fae0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\x06]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Slow-Eng... test, string?!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Slow-Multiline\\nstring!\\nWow!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Slow-A lot\\t w!]": "skipped", @@ -16192,13 +16022,51 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Slow-\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Slow- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-Eng... test, string?!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-Multiline\\nstring!\\nWow!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-A lot\\t w!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-A lot\\t\\tof whitespaces!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-What is OpenVINO?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-Testzeichenfolge?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-Tester, la cha\\xeene...]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\U0001f600]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\U0001fae0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\x06]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Phi-3-mini-128k-instruct--Slow- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Slow-Eng... test, string?!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Slow-Multiline\\nstring!\\nWow!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Slow-A lot\\t w!]": "skipped", @@ -16230,7 +16098,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-Phi-3-mini-128k-instruct--Slow- ]": "skipped", @@ -16268,7 +16136,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Phi-3-mini-128k-instruct--Slow- ]": "skipped", @@ -16307,7 +16175,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Phi-3-mini-128k-instruct--Slow- ]": "skipped", @@ -16347,51 +16215,13 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow- \\t\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-Eng... test, string?!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-Multiline\\nstring!\\nWow!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-A lot\\t w!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-A lot\\t\\tof whitespaces!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-What is OpenVINO?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-Testzeichenfolge?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-Tester, la cha\\xeene...]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\U0001f600]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\U0001fae0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\x06]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it--Slow-Eng... test, string?!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it--Slow-Multiline\\nstring!\\nWow!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it--Slow-A lot\\t w!]": "skipped", @@ -16423,13 +16253,51 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it--Slow-\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-quantized-gemma-7b-it--Slow- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-Eng... test, string?!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-Multiline\\nstring!\\nWow!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-A lot\\t w!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-A lot\\t\\tof whitespaces!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-What is OpenVINO?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-Testzeichenfolge?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-Tester, la cha\\xeene...]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\U0001f600]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\U0001fae0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\x06]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-quantized-gemma-7b-it--Slow- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it--Slow-Eng... test, string?!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it--Slow-Multiline\\nstring!\\nWow!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it--Slow-A lot\\t w!]": "skipped", @@ -16461,7 +16329,7 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-quantized-gemma-7b-it--Slow- ]": "skipped", @@ -16499,7 +16367,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-quantized-gemma-7b-it--Slow- ]": "skipped", @@ -16538,7 +16406,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-quantized-gemma-7b-it--Slow- ]": "skipped", @@ -16579,158 +16447,120 @@ "tokenizers_test.py::test_bpe_model_tokenizer_chat[add_tokens-stablelm-2-1_6b-test_chat0]": "skipped", "tokenizers_test.py::test_tiktoken_model_tokenizer_chat[no_add_tokens-Qwen-14B-Chat-test_chat0]": "skipped", "tokenizers_test.py::test_tiktoken_model_tokenizer_chat[add_tokens-Qwen-14B-Chat-test_chat0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-Eng... test, string?!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-Multiline\\nstring!\\nWow!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-A lot\\t w!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-A lot\\t\\tof whitespaces!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-What is OpenVINO?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-Testzeichenfolge?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-Tester, la cha\\xeene...]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\U0001f600]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\U0001fae0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\x06]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Slow- \\t\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-Eng... test, string?!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-Multiline\\nstring!\\nWow!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-A lot\\t w!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-A lot\\t\\tof whitespaces!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-What is OpenVINO?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-Testzeichenfolge?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-Tester, la cha\\xeene...]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001f600]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001fae0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\x06]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat--Fast- \\t\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Eng... test, string?!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-A lot\\t w!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-What is OpenVINO?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Testzeichenfolge?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Tester, la cha\\xeene...]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f600]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001fae0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\x06]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast- \\t\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-Eng... test, string?!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-Multiline\\nstring!\\nWow!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-A lot\\t w!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-A lot\\t\\tof whitespaces!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-What is OpenVINO?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-Testzeichenfolge?]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-Tester, la cha\\xeene...]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\U0001f600]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\U0001fae0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\x06]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow- ]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\n]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-Eng... test, string?!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-Multiline\\nstring!\\nWow!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-A lot\\t w!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-A lot\\t\\tof whitespaces!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-What is OpenVINO?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-Testzeichenfolge?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-Tester, la cha\\xeene...]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\U0001f600]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\U0001fae0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\x06]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Slow- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-Eng... test, string?!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-Multiline\\nstring!\\nWow!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-A lot\\t w!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-A lot\\t\\tof whitespaces!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-What is OpenVINO?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-Testzeichenfolge?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-Tester, la cha\\xeene...]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001f600]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001fae0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\x06]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat--Fast- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Eng... test, string?!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-A lot\\t w!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-What is OpenVINO?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Testzeichenfolge?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-Tester, la cha\\xeene...]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f600]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001fae0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\x06]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-Baichuan2-7B-Chat-sp_backend-Fast- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-Eng... test, string?!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-Multiline\\nstring!\\nWow!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-A lot\\t w!]": "skipped", @@ -16762,13 +16592,51 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow- \\t\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-Eng... test, string?!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-Multiline\\nstring!\\nWow!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-A lot\\t w!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-A lot\\t\\tof whitespaces!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-Eng, but with d1gits: 123; 0987654321, stop.0987654321 - eng, but with d1gits: 123]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-What is OpenVINO?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-If I have 100 million dollars, what kinds of projects should I invest to maximize my benefits in background of a growing number of artificial intelligence technologies?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-Originally, There were three types of cake in the cake store: Strawberry Cream Cake, Chocolate Coconut Cake, and Red Velvet Brownie Cake. Customer number is large enough so that no cake would be left every day when the store close. As the name suggested, each cake has two ingredients: Strawberry Cream Cake with strawberries and cream, Chocolate Coconut Cake with chocolate and coconut, and Red Velvet Brownie Cake with red velvet and brownie. Different ingredients can be compatibly mixed with each other without any issue. After the cake is made, there are often some leftover materials for each ingredient. In order to reduce waste, the store often combine the extra ingredients in pairs to make new small gifts to gain extra sales. For example, strawberries and chocolate can be mixed to create strawberry-flavored chocolate sauce, and brownies and shredded coconut can be mixed to create brownie coconut cookies. Only two ingredients can be mixed, and mixture with more than two ingredients can cost a lot of time and will not be adopted. In order to decrease the problem complexity, the store will also prevent from careful decorations or other difficult steps as in procedure of making cakes, so that time cost can be omited. By analogy, if all the ingredients can be combined in pairs, what small products can the store make in the end?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-Testzeichenfolge?]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-Tester, la cha\\xeene...]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\U0001f600]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\U0001fae0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-1]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\x06]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow- ]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow-\\n]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-TinyLlama-1.1B-Chat-v1.0--Slow- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat--Slow-Eng... test, string?!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat--Slow-Multiline\\nstring!\\nWow!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat--Slow-A lot\\t w!]": "skipped", @@ -16800,7 +16668,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat--Slow- ]": "skipped", @@ -16839,7 +16707,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat--Slow-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat--Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat--Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat--Slow-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat--Slow-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat--Slow-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat--Slow- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat--Slow- ]": "skipped", @@ -16848,8 +16716,6 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat--Slow- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-Baichuan2-7B-Chat--Slow-test_chat0]": "skipped", "tokenizers_test.py::test_rt_info_sentencepiece[Baichuan2-7B-Chat--Slow]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[no_add_tokens-Baichuan2-7B-Chat-sp_backend-Slow-test_chat0]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-Baichuan2-7B-Chat-sp_backend-Slow-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat--Fast-Eng... test, string?!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat--Fast-Multiline\\nstring!\\nWow!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat--Fast-A lot\\t w!]": "skipped", @@ -16881,7 +16747,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat--Fast- ]": "skipped", @@ -16920,7 +16786,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat--Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat--Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat--Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat--Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat--Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat--Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat--Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat--Fast- ]": "skipped", @@ -16929,6 +16795,8 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat--Fast- \\t\\n]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-Baichuan2-7B-Chat--Fast-test_chat0]": "skipped", "tokenizers_test.py::test_rt_info_sentencepiece[Baichuan2-7B-Chat--Fast]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[no_add_tokens-Baichuan2-7B-Chat-sp_backend-Slow-test_chat0]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[add_tokens-Baichuan2-7B-Chat-sp_backend-Slow-test_chat0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat-sp_backend-Fast-Eng... test, string?!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat-sp_backend-Fast-A lot\\t w!]": "skipped", @@ -16960,7 +16828,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat-sp_backend-Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat-sp_backend-Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat-sp_backend-Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat-sp_backend-Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Baichuan2-7B-Chat-sp_backend-Fast- ]": "skipped", @@ -16999,7 +16867,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001fae0]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "skipped", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat-sp_backend-Fast-]": "skipped", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat-sp_backend-Fast-1]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat-sp_backend-Fast-\\x06]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat-sp_backend-Fast- ]": "skipped", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Baichuan2-7B-Chat-sp_backend-Fast- ]": "skipped", @@ -17015,18 +16883,18 @@ "tokenizers_test.py::test_hf_wordpiece_tokenizers[add_tokens-LaBSE-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "failed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-LaBSE-right_pad-test_string2]": "failed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-LaBSE-right_pad-test_string2]": "failed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-LaBSE-right_pad-test_string2]": "failed", - "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-LaBSE-right_pad-test_string2]": "failed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-min_pad-LaBSE-left_pad-test_string2]": "failed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-min_pad-LaBSE-left_pad-test_string2]": "failed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-LaBSE-right_pad-test_string2]": "failed", + "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-LaBSE-right_pad-test_string2]": "failed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[no_add_tokens-max_pad-LaBSE-left_pad-test_string2]": "failed", "tokenizers_test.py::test_hf_wordpiece_tokenizers_multiple_strings[add_tokens-max_pad-LaBSE-left_pad-test_string2]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-falcon-7b-right_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-falcon-7b-right_pad-test_string0]": "failed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-falcon-7b-right_pad-test_string0]": "failed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-falcon-7b-right_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-falcon-7b-left_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-falcon-7b-left_pad-test_string0]": "failed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-falcon-7b-right_pad-test_string0]": "failed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-falcon-7b-right_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-falcon-7b-left_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-falcon-7b-left_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-stablecode-completion-alpha-3b-4k-right_pad-test_string0]": "failed", @@ -17039,10 +16907,10 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-dolly-v2-3b-left_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-roberta-base-right_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-roberta-base-right_pad-test_string0]": "failed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-roberta-base-right_pad-test_string0]": "failed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-roberta-base-right_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-roberta-base-left_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-roberta-base-left_pad-test_string0]": "failed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-roberta-base-right_pad-test_string0]": "failed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-roberta-base-right_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-roberta-base-left_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-roberta-base-left_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-opt-66b-right_pad-test_string0]": "failed", @@ -17051,10 +16919,10 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-opt-66b-left_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-gpt2-right_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-gpt2-right_pad-test_string0]": "failed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-gpt2-right_pad-test_string0]": "failed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-gpt2-right_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-gpt2-left_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-gpt2-left_pad-test_string0]": "failed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-gpt2-right_pad-test_string0]": "failed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-gpt2-right_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-gpt2-left_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-gpt2-left_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-gpt-neox-20b-right_pad-test_string0]": "failed", @@ -17063,10 +16931,10 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-gpt-neox-20b-left_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-rugpt3large_based_on_gpt2-right_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-rugpt3large_based_on_gpt2-right_pad-test_string0]": "failed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-rugpt3large_based_on_gpt2-right_pad-test_string0]": "failed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-rugpt3large_based_on_gpt2-right_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-rugpt3large_based_on_gpt2-left_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-rugpt3large_based_on_gpt2-left_pad-test_string0]": "failed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-rugpt3large_based_on_gpt2-right_pad-test_string0]": "failed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-rugpt3large_based_on_gpt2-right_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-rugpt3large_based_on_gpt2-left_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-rugpt3large_based_on_gpt2-left_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-galactica-120b-right_pad-test_string0]": "failed", @@ -17083,10 +16951,10 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-bloom-left_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-codegen-16B-multi-right_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-codegen-16B-multi-right_pad-test_string0]": "failed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-codegen-16B-multi-right_pad-test_string0]": "failed", - "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-codegen-16B-multi-right_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-min_pad-codegen-16B-multi-left_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-min_pad-codegen-16B-multi-left_pad-test_string0]": "failed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-codegen-16B-multi-right_pad-test_string0]": "failed", + "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-codegen-16B-multi-right_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[no_add_tokens-max_pad-codegen-16B-multi-left_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_multiple_strings[add_tokens-max_pad-codegen-16B-multi-left_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[no_add_tokens-glm-4-9b-chat-min_pad-right_pad-test_string0]": "failed", @@ -17095,14 +16963,12 @@ "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[add_tokens-glm-4-9b-chat-min_pad-right_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[add_tokens-glm-4-9b-chat-min_pad-right_pad-test_string1]": "failed", "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[add_tokens-glm-4-9b-chat-min_pad-right_pad-test_string2]": "failed", - "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[add_tokens-glm-4-9b-chat-min_pad-right_pad-test_string3]": "failed", "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[no_add_tokens-glm-4-9b-chat-max_pad-right_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[no_add_tokens-glm-4-9b-chat-max_pad-right_pad-test_string1]": "failed", "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[no_add_tokens-glm-4-9b-chat-max_pad-right_pad-test_string2]": "failed", "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[add_tokens-glm-4-9b-chat-max_pad-right_pad-test_string0]": "failed", "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[add_tokens-glm-4-9b-chat-max_pad-right_pad-test_string1]": "failed", "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[add_tokens-glm-4-9b-chat-max_pad-right_pad-test_string2]": "failed", - "tokenizers_test.py::test_hf_tiktoken_tokenizers_multiple_strings[add_tokens-glm-4-9b-chat-max_pad-right_pad-test_string3]": "failed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-camembert-base-right_pad-sp_backend-Slow-test_string0]": "failed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-camembert-base-right_pad-sp_backend-Slow-test_string1]": "failed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-camembert-base-right_pad-sp_backend-Slow-test_string2]": "failed", @@ -17125,18 +16991,6 @@ "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-camembert-base-left_pad-sp_backend-Fast-test_string0]": "failed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-camembert-base-left_pad-sp_backend-Fast-test_string1]": "failed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-camembert-base-left_pad-sp_backend-Fast-test_string2]": "failed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-right_pad-sp_backend-Slow-test_string0]": "failed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-right_pad-sp_backend-Slow-test_string0]": "failed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-left_pad-sp_backend-Slow-test_string0]": "failed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-left_pad-sp_backend-Slow-test_string0]": "failed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-right_pad--Fast-test_string0]": "failed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-right_pad--Fast-test_string0]": "failed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-left_pad--Fast-test_string0]": "failed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-left_pad--Fast-test_string0]": "failed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-right_pad-sp_backend-Fast-test_string0]": "failed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-right_pad-sp_backend-Fast-test_string0]": "failed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-Llama-2-13b-hf-left_pad-sp_backend-Fast-test_string0]": "failed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-Llama-2-13b-hf-left_pad-sp_backend-Fast-test_string0]": "failed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-xlm-roberta-base-right_pad-sp_backend-Slow-test_string0]": "failed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-xlm-roberta-base-right_pad-sp_backend-Slow-test_string0]": "failed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-xlm-roberta-base-right_pad-sp_backend-Slow-test_string1]": "failed", @@ -17189,14 +17043,14 @@ "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-bilingual-gpt-neox-4b-left_pad-sp_backend-Fast-test_string3]": "failed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-bilingual-gpt-neox-4b-left_pad-sp_backend-Fast-test_string0]": "failed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-bilingual-gpt-neox-4b-left_pad-sp_backend-Fast-test_string3]": "failed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-quantized-gemma-7b-it-right_pad-sp_backend-Slow-test_string0]": "failed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-quantized-gemma-7b-it-right_pad-sp_backend-Slow-test_string0]": "failed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-quantized-gemma-7b-it-left_pad-sp_backend-Slow-test_string0]": "failed", - "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-quantized-gemma-7b-it-left_pad-sp_backend-Slow-test_string0]": "failed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-quantized-gemma-7b-it-right_pad--Fast-test_string0]": "failed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-quantized-gemma-7b-it-right_pad--Fast-test_string0]": "failed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-quantized-gemma-7b-it-left_pad--Fast-test_string0]": "failed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-quantized-gemma-7b-it-left_pad--Fast-test_string0]": "failed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-quantized-gemma-7b-it-right_pad-sp_backend-Slow-test_string0]": "failed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-quantized-gemma-7b-it-right_pad-sp_backend-Slow-test_string0]": "failed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-quantized-gemma-7b-it-left_pad-sp_backend-Slow-test_string0]": "failed", + "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-quantized-gemma-7b-it-left_pad-sp_backend-Slow-test_string0]": "failed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-quantized-gemma-7b-it-right_pad-sp_backend-Fast-test_string0]": "failed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[add_tokens-quantized-gemma-7b-it-right_pad-sp_backend-Fast-test_string0]": "failed", "tokenizers_test.py::test_hf_sentencepiece_tokenizers_multiple_strings[no_add_tokens-quantized-gemma-7b-it-left_pad-sp_backend-Fast-test_string0]": "failed", @@ -17224,6 +17078,28 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-\\U0001fae0]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\U0001f600]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\U0001f601\\U0001f601]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\U0001fae0]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "failed", @@ -17241,6 +17117,12 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-\\U0001fae0]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-\\x06]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow-\\n]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Slow- \\t\\n]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "failed", @@ -17258,28 +17140,12 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-\\U0001fae0]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\u4ecb\\u7ecd\\u4e0b\\u6e05\\u534e\\u5927\\u5b66]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\u82e5\\u6211\\u6709\\u4e00\\u4ebf\\u7f8e\\u5143\\uff0c\\u5728\\u4eba\\u5de5\\u667a\\u80fd\\u76db\\u884c\\u7684\\u4eca\\u5929\\uff0c\\u6211\\u600e\\u6837\\u6295\\u8d44\\u624d\\u80fd\\u6536\\u76ca\\u6700\\u5927\\u5316\\uff1f]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\U0001f600]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\U0001f601\\U0001f601]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\U0001f923\\U0001f923\\U0001f923\\U0001f601\\U0001f601\\U0001f601\\U0001f601]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\U0001fae0]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-\\x06]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast-\\n]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-camembert-base-sp_backend-Fast- \\t\\n]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "failed", @@ -17297,6 +17163,12 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-\\U0001fae0]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-\\x06]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Slow-\\n]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Slow- \\t\\n]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "failed", @@ -17314,6 +17186,12 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\U0001fae0]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\x06]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Fast-\\n]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-camembert-base-sp_backend-Fast- \\t\\n]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-camembert-base-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "failed", @@ -17358,22 +17236,34 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-camembert-base-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "failed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "failed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf--Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "failed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "failed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Fast- ]": "failed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Fast- ]": "failed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Fast- ]": "failed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-Llama-2-13b-hf-sp_backend-Fast- \\t\\n]": "failed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "failed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Fast- ]": "failed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Fast- ]": "failed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Fast- ]": "failed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-Llama-2-13b-hf-sp_backend-Fast- \\t\\n]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\U0001fae0]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\x06]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow-\\n]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Slow- \\t\\n]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\U0001fae0]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\x06]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast-\\n]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlm-roberta-base-sp_backend-Fast- \\t\\n]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Slow-\\U0001fae0]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Slow-\\x06]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Slow-\\n]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Slow- \\t\\n]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Fast-\\U0001fae0]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Fast-\\x06]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Fast-\\n]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlm-roberta-base-sp_backend-Fast- \\t\\n]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlm-roberta-base-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "failed", @@ -17384,14 +17274,38 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base-sp_backend-Fast-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base-sp_backend-Fast-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlm-roberta-base-sp_backend-Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\x06]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow-\\n]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Slow- \\t\\n]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\U0001fae0]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\x06]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast-\\n]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-deberta-v3-base-sp_backend-Fast- \\t\\n]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Slow-\\x06]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Slow-\\n]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Slow- \\t\\n]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast-\\U0001fae0]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast-\\x06]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast-\\n]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-deberta-v3-base-sp_backend-Fast- \\t\\n]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "failed", @@ -17400,6 +17314,14 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "failed", @@ -17417,6 +17339,12 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-\\U0001fae0]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-\\x06]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow-\\n]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Slow- \\t\\n]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "failed", @@ -17434,14 +17362,12 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-\\U0001fae0]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-\\u05de\\u05d7\\u05e8\\u05d5\\u05d6\\u05ea \\u05d1\\u05d3\\u05d9\\u05e7\\u05d4]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-\\u0631\\u0634\\u062a\\u0647 \\u062a\\u0633\\u062a]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-\\x06]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast-\\n]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-xlnet-base-cased-sp_backend-Fast- \\t\\n]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "failed", @@ -17459,6 +17385,12 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-\\U0001fae0]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-\\x06]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow-\\n]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Slow- \\t\\n]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast-\\u0633\\u0644\\u0633\\u0644\\u0629 \\u0627\\u0644\\u0627\\u062e\\u062a\\u0628\\u0627\\u0631]": "failed", @@ -17476,6 +17408,12 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast-\\U0001fae0]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast-\\x06]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast-\\n]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-xlnet-base-cased-sp_backend-Fast- \\t\\n]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased-sp_backend-Slow-Tester, la cha\\xeene...]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-xlnet-base-cased-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "failed", @@ -17510,7 +17448,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased-sp_backend-Slow-\\U0001fae0]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "failed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased-sp_backend-Slow-]": "failed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased-sp_backend-Slow-1]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased-sp_backend-Slow-\\x06]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased-sp_backend-Slow- ]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased-sp_backend-Slow- ]": "failed", @@ -17551,7 +17489,7 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased-sp_backend-Fast-\\U0001fae0]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "failed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased-sp_backend-Fast-]": "failed", + "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased-sp_backend-Fast-1]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased-sp_backend-Fast-\\x06]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased-sp_backend-Fast- ]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-xlnet-base-cased-sp_backend-Fast- ]": "failed", @@ -17565,6 +17503,12 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "failed", @@ -17583,6 +17527,12 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-\\U0001fae0]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-\\x06]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow-\\n]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Slow- \\t\\n]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "failed", @@ -17601,12 +17551,12 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\U0001fae0]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-t5-base-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\x06]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast-\\n]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-t5-base-sp_backend-Fast- \\t\\n]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "failed", @@ -17625,6 +17575,12 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Slow-\\U0001fae0]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Slow-\\x06]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Slow-\\n]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Slow- \\t\\n]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "failed", @@ -17643,6 +17599,12 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Fast-\\U0001fae0]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Fast-\\x06]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Fast-\\n]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-t5-base-sp_backend-Fast- \\t\\n]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "failed", @@ -17650,6 +17612,12 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "failed", @@ -17668,6 +17636,12 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-\\U0001fae0]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-\\x06]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow-\\n]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Slow- \\t\\n]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "failed", @@ -17686,12 +17660,12 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-\\U0001fae0]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-\\u0421\\u044b\\u043d\\u0430\\u049b \\u0436\\u043e\\u043b\\u044b \\xe1]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-\\u7cd5\\u70b9\\u5546\\u5e97\\u91cc\\u539f\\u672c\\u6709\\u4e09\\u79cd\\u86cb\\u7cd5\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\uff0c\\u548c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u3002\\u5982\\u540d\\u5b57\\u6240\\u63cf\\u8ff0\\u7684\\u90a3\\u6837\\uff0c\\u6bcf\\u79cd\\u86cb\\u7cd5\\u90fd\\u6709\\u4e24\\u79cd\\u6210\\u5206\\uff1a\\u8349\\u8393\\u5976\\u6cb9\\u86cb\\u7cd5\\u5305\\u542b\\u8349\\u8393\\u548c\\u5976\\u6cb9\\u4e24\\u4e2a\\u6210\\u5206\\uff0c\\u5de7\\u514b\\u529b\\u6930\\u84c9\\u86cb\\u7cd5\\u5305\\u542b\\u5de7\\u514b\\u529b\\u548c\\u6930\\u84c9\\u4e24\\u79cd\\u6210\\u5206\\uff0c\\u7ea2\\u4e1d\\u7ed2\\u5e03\\u6717\\u5c3c\\u86cb\\u7cd5\\u5305\\u542b\\u7ea2\\u4e1d\\u7ed2\\u548c\\u5e03\\u6717\\u5c3c\\u4e24\\u79cd\\u6210\\u5206\\u3002\\u5728\\u86cb\\u7cd5\\u5236\\u4f5c\\u5b8c\\u6210\\u540e\\uff0c\\u5f80\\u5f80\\u6bcf\\u4e00\\u79cd\\u6210\\u5206\\u7684\\u6750\\u6599\\u90fd\\u4f1a\\u6709\\u6240\\u5269\\u4f59\\u3002\\u4e3a\\u4e86\\u51cf\\u5c11\\u6d6a\\u8d39\\uff0c\\u5546\\u5e97\\u5e38\\u5e38\\u4f1a\\u628a\\u591a\\u51fa\\u6765\\u7684\\u6210\\u5206\\u4e24\\u4e24\\u642d\\u914d\\uff0c\\u505a\\u6210\\u65b0\\u7684\\u5c0f\\u5546\\u54c1\\u5356\\u51fa\\u53bb\\u3002\\u6bd4\\u5982\\u8349\\u8393\\u548c\\u5de7\\u514b\\u529b\\u53ef\\u4ee5\\u505a\\u6210\\u8349\\u8393\\u5473\\u5de7\\u514b\\u529b\\u9171\\uff0c\\u5e03\\u6717\\u5c3c\\u548c\\u6930\\u84c9\\u53ef\\u4ee5\\u505a\\u6210\\u5e03\\u6717\\u5c3c\\u6930\\u84c9\\u997c\\u5e72\\u3002\\u4ee5\\u6b64\\u7c7b\\u63a8\\u53ef\\u77e5\\uff0c\\u5982\\u679c\\u6240\\u6709\\u7684\\u6210\\u5206\\u90fd\\u53ef\\u4ee5\\u4e24\\u4e24\\u7ec4\\u5408\\uff0c\\u90a3\\u4e48\\u6700\\u7ec8\\u5546\\u5e97\\u80fd\\u505a\\u51fa\\u54ea\\u4e9b\\u5c0f\\u5546\\u54c1\\u51fa\\u6765\\uff1f]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-\\u684c\\u5b50\\u6709\\u5de6\\u4e2d\\u53f33\\u4e2a\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\uff0c\\u674e\\u56db\\uff0c\\u738b\\u4e94\\uff0c\\u8d75\\u516d\\u90fd\\u770b\\u5230\\u684c\\u5b50\\u4e0a\\u6709\\u4e00\\u888b\\u5de7\\u514b\\u529b\\u3002\\u5f20\\u4e09\\u8ba9\\u674e\\u56db\\u548c\\u738b\\u4e94\\u51fa\\u95e8\\u540e\\uff0c\\u5728\\u8d75\\u516d\\u9762\\u524d\\u628a\\u8fd9\\u888b\\u5de7\\u514b\\u529b\\u653e\\u8fdb\\u4e86\\u53f3\\u62bd\\u5c49\\uff1b\\u738b\\u4e94\\u56de\\u6765\\u540e\\uff0c\\u5f20\\u4e09\\u8ba9\\u8d75\\u516d\\u51fa\\u95e8\\u53bb\\u627e\\u674e\\u56db\\uff0c\\u5e76\\u5728\\u738b\\u4e94\\u9762\\u524d\\u4ece\\u5de6\\u62bd\\u5c49\\u62ff\\u51fa\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\u91cc\\uff1b\\u7b49\\u674e\\u56db\\u548c\\u8d75\\u516d\\u8fd4\\u56de\\uff0c\\u5f20\\u4e09\\u53c8\\u8ba9\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u51fa\\u53bb\\u4e70\\u9171\\u6cb9\\uff0c\\u7b49\\u4e8c\\u4eba\\u8d70\\u540e\\uff0c\\u4ed6\\u544a\\u8bc9\\u674e\\u56db\\u521a\\u624d\\u5df2\\u5c06\\u4e00\\u76d2\\u997c\\u5e72\\u653e\\u8fdb\\u4e2d\\u62bd\\u5c49\\uff1b\\u5f20\\u4e09\\u7b49\\u4e86\\u5f88\\u4e45\\uff0c\\u53d1\\u73b0\\u738b\\u4e94\\u548c\\u8d75\\u516d\\u8fd8\\u6ca1\\u56de\\u6765\\uff0c\\u5c31\\u6d3e\\u674e\\u56db\\u53bb\\u5bfb\\u627e\\uff0c\\u53ef\\u6700\\u540e\\u53ea\\u6709\\u738b\\u4e94\\u548c\\u674e\\u56db\\u56de\\u6765\\u4e86\\u3002\\u738b\\u4e94\\u544a\\u8bc9\\u5f20\\u4e09\\uff0c\\u4e00\\u5f00\\u59cb\\u4ed6\\u4eec\\u6ca1\\u6709\\u627e\\u5230\\u5356\\u9171\\u6cb9\\u7684\\u5e97\\uff0c\\u6240\\u4ee5\\u53ea\\u597d\\u5206\\u5934\\u53bb\\u4e70\\uff0c\\u540e\\u6765\\u8d75\\u516d\\u8d70\\u4e22\\u4e86\\uff1b\\u56de\\u6765\\u7684\\u8def\\u4e0a\\uff0c\\u738b\\u4e94\\u78b0\\u4e0a\\u4e86\\u674e\\u56db\\uff0c\\u4e24\\u4eba\\u4fbf\\u5148\\u8d76\\u4e86\\u56de\\u6765\\u3002\\u4e8e\\u662f\\uff0c\\u5f20\\u4e09\\u8ba9\\u4e24\\u4eba\\u51fa\\u95e8\\u53bb\\u627e\\u8d75\\u516d\\uff1b\\u4e3a\\u9632\\u518d\\u6b21\\u8d70\\u4e22\\uff0c\\u5f20\\u4e09\\u53ee\\u5631\\u674e\\u56db\\u548c\\u738b\\u4e94\\u8981\\u65f6\\u523b\\u540c\\u884c\\uff0c\\u5c31\\u7b97\\u9171\\u6cb9\\u4e70\\u4e0d\\u5230\\uff0c\\u4e5f\\u8981\\u627e\\u56de\\u8d75\\u516d\\u3002\\u7ed3\\u679c\\uff0c\\u674e\\u56db\\u548c\\u738b\\u4e94\\u5728\\u5916\\u9762\\u627e\\u5230\\u4e86\\u8d75\\u516d\\uff0c\\u53d1\\u73b0\\u4ed6\\u5df2\\u7ecf\\u4e70\\u4e86\\u9171\\u6cb9\\u3002\\u4e09\\u4eba\\u89c9\\u5f97\\u5f20\\u4e09\\u4ece\\u6765\\u4e0d\\u51fa\\u95e8\\u8dd1\\u817f\\uff0c\\u5341\\u5206\\u6c14\\u6124\\uff0c\\u8ba8\\u8bba\\u5e76\\u8fbe\\u6210\\u5171\\u8bc6\\uff0c\\u56de\\u53bb\\u89c1\\u5230\\u5f20\\u4e09\\u540e\\uff0c\\u4e0d\\u8981\\u544a\\u8bc9\\u4ed6\\u4e70\\u5230\\u4e86\\u9171\\u6cb9\\u7684\\u4e8b\\u60c5\\uff0c\\u5e76\\u8ba9\\u738b\\u4e94\\u628a\\u9171\\u6cb9\\u85cf\\u5230\\u81ea\\u5df1\\u7684\\u80cc\\u5305\\u91cc\\u3002\\u7b49\\u4e09\\u4eba\\u4e00\\u540c\\u56de\\u6765\\u540e\\uff0c\\u4ed6\\u4eec\\u6309\\u7167\\u8ba1\\u5212\\u8c0e\\u79f0\\u6ca1\\u6709\\u4e70\\u5230\\u9171\\u6cb9\\uff0c\\u5e76\\u5e0c\\u671b\\u5f20\\u4e09\\u4ee5\\u540e\\u4e70\\u4e1c\\u897f\\u4e5f\\u8981\\u4e00\\u540c\\u51fa\\u95e8\\uff0c\\u4e0d\\u80fd\\u5077\\u61d2\\uff0c\\u5f20\\u4e09\\u7b54\\u5e94\\u4e86\\u3002\\u5f53\\u5927\\u5bb6\\u6700\\u540e\\u7ad9\\u5728\\u684c\\u5b50\\u524d\\uff0c\\u56db\\u4eba\\u5206\\u522b\\u5199\\u4e0b\\u81ea\\u5df1\\u77e5\\u9053\\u7684\\u7269\\u54c1\\u6e05\\u5355\\u548c\\u7269\\u54c1\\u6240\\u5728\\u4f4d\\u7f6e\\u3002\\u95ee\\uff0c\\u8fd9\\u56db\\u4eba\\u5199\\u4e0b\\u7684\\u7269\\u54c1\\u548c\\u4f4d\\u7f6e\\u4fe1\\u606f\\u662f\\u5426\\u4e00\\u81f4\\uff0c\\u4e3a\\u4ec0\\u4e48\\uff1f]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-\\u6298\\u7eb8\\u7684\\u8fc7\\u7a0b\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u5176\\u5b9e\\u60f3\\u8981\\u505a\\u597d\\uff0c\\u8fd8\\u662f\\u9700\\u8981\\u4e00\\u5957\\u5f88\\u590d\\u6742\\u7684\\u5de5\\u827a\\u3002\\u4ee5\\u6298\\u4e00\\u652f\\u73ab\\u7470\\u82b1\\u4e3a\\u4f8b\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5c06\\u6574\\u4e2a\\u6298\\u7eb8\\u8fc7\\u7a0b\\u5206\\u6210\\u4e09\\u4e2a\\u9636\\u6bb5\\uff0c\\u5373\\uff1a\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u9996\\u5148\\u662f\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff1a\\u8fd9\\u4e00\\u6b65\\u6709\\u70b9\\u50cf\\u6211\\u4eec\\u6298\\u5343\\u7eb8\\u9e64\\u7684\\u7b2c\\u4e00\\u6b65\\uff0c\\u5373\\u901a\\u8fc7\\u5bf9\\u79f0\\u5dde\\u4f9d\\u6b21\\u5bf9\\u6298\\uff0c\\u7136\\u540e\\u6309\\u7167\\u957f\\u548c\\u5bbd\\u4e24\\u4e2a\\u7ef4\\u5ea6\\uff0c\\u4f9d\\u6b21\\u8fdb\\u884c\\u591a\\u7b49\\u5206\\u7684\\u5747\\u5300\\u6298\\u53e0\\uff1b\\u6700\\u7ec8\\u5728\\u4e24\\u4e2a\\u65b9\\u5411\\u4e0a\\u7684\\u6298\\u75d5\\u4f1a\\u4ea4\\u7ec7\\u6210\\u4e00\\u5957\\u5b8c\\u6574\\u5747\\u5300\\u7684\\u5c0f\\u65b9\\u683c\\u62fc\\u63a5\\u56fe\\u6848\\uff1b\\u8fd9\\u4e9b\\u5c0f\\u65b9\\u683c\\u5c31\\u7ec4\\u6210\\u4e86\\u7c7b\\u4f3c\\u4e8c\\u7ef4\\u5750\\u6807\\u7cfb\\u7684\\u53c2\\u8003\\u7cfb\\u7edf\\uff0c\\u4f7f\\u5f97\\u6211\\u4eec\\u5728\\u8be5\\u5e73\\u9762\\u4e0a\\uff0c\\u901a\\u8fc7\\u7ec4\\u5408\\u4e34\\u8fd1\\u6298\\u75d5\\u7684\\u65b9\\u5f0f\\u4ece\\u4e8c\\u7ef4\\u5c0f\\u65b9\\u683c\\u4e0a\\u6298\\u53e0\\u51fa\\u4e09\\u7ef4\\u7684\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\uff0c\\u4ee5\\u4fbf\\u4e8e\\u63a5\\u4e0b\\u6765\\u7684\\u51e0\\u5ea7\\u5236\\u4f5c\\u8fc7\\u7a0b\\u3002\\u9700\\u8981\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u5728\\u5efa\\u7acb\\u6805\\u683c\\u6298\\u75d5\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u53ef\\u80fd\\u4f1a\\u51fa\\u73b0\\u6298\\u53e0\\u4e0d\\u5bf9\\u6210\\u7684\\u60c5\\u51b5\\uff0c\\u8fd9\\u79cd\\u9519\\u8bef\\u6240\\u5e26\\u6765\\u7684\\u540e\\u679c\\u53ef\\u80fd\\u662f\\u5f88\\u4e25\\u91cd\\u7684\\uff0c\\u5c31\\u50cf\\u662f\\u8774\\u8776\\u6548\\u5e94\\uff0c\\u4e00\\u5f00\\u59cb\\u53ea\\u662f\\u6beb\\u5398\\u4e4b\\u5dee\\uff0c\\u6700\\u540e\\u53ef\\u80fd\\u5c31\\u662f\\u5929\\u58e4\\u4e4b\\u522b\\u3002\\u7136\\u540e\\u662f\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff1a\\u5728\\u8fd9\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u57fa\\u4e8e\\u6805\\u683c\\u6298\\u75d5\\u6298\\u51fa\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u6216\\u51f9\\u9677\\u3002\\u4ece\\u5bf9\\u79f0\\u6027\\u5206\\u6790\\u4e0d\\u96be\\u53d1\\u73b0\\uff0c\\u73ab\\u7470\\u82b1\\u4f1a\\u6709\\u56db\\u4e2a\\u5468\\u5bf9\\u79f0\\u7684\\u4e09\\u7ef4\\u9ad8\\u53f0\\u548c\\u914d\\u5957\\u51f9\\u9677\\u3002\\u6240\\u4ee5\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5148\\u6298\\u51fa\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u51f9\\u9677\\u548c\\u9ad8\\u53f0\\u56fe\\u6848\\uff0c\\u7136\\u540e\\u4ee5\\u8fd9\\u56db\\u5206\\u4e4b\\u4e00\\u7684\\u90e8\\u5206\\u4f5c\\u4e3a\\u6478\\u677f\\uff0c\\u518d\\u4f9d\\u6b21\\u6298\\u51fa\\u5176\\u4f59\\u4e09\\u4e2a\\u90e8\\u5206\\u7684\\u91cd\\u590d\\u56fe\\u6848\\u3002\\u503c\\u5f97\\u6ce8\\u610f\\u7684\\u662f\\uff0c\\u9ad8\\u53f0\\u7684\\u5e03\\u5c40\\u4e0d\\u4ec5\\u8981\\u8003\\u8651\\u957f\\u548c\\u5bbd\\u8fd9\\u4e24\\u4e2a\\u552f\\u72ec\\u4e0a\\u7684\\u89c4\\u6574\\u886c\\u5ea6\\u548c\\u5bf9\\u79f0\\u5206\\u5e03\\uff0c\\u8fd8\\u9700\\u8981\\u540c\\u65f6\\u4fdd\\u8bc1\\u9ad8\\u8fd9\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6574\\u9f50\\u3002\\u4e0e\\u7b2c\\u4e00\\u9636\\u6bb5\\u7684\\u6ce8\\u610f\\u4e8b\\u9879\\u7c7b\\u4f3c\\uff0c\\u8bf7\\u5904\\u7406\\u597d\\u4e09\\u4e2a\\u7ef4\\u5ea6\\u4e0a\\u7684\\u6240\\u6709\\u6298\\u89d2\\uff0c\\u786e\\u4fdd\\u5b83\\u4eec\\u7b26\\u5408\\u8ba1\\u5212\\u4e2d\\u6240\\u8981\\u6c42\\u7684\\u90a3\\u79cd\\u5e03\\u5c40\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e09\\u7ef4\\u6298\\u53e0\\u8fc7\\u7a0b\\u4e2d\\u7684\\u8774\\u8776\\u6548\\u5e94\\uff1b\\u4e3a\\u6b64\\uff0c\\u6211\\u4eec\\u5e38\\u5e38\\u4f1a\\u5728\\u6298\\u53e0\\u7b2c\\u4e00\\u4e2a\\u56db\\u5206\\u4e4b\\u4e00\\u56fe\\u6848\\u7684\\u8fc7\\u7a0b\\u4e2d\\uff0c\\u4e0e\\u6210\\u54c1\\u73ab\\u7470\\u82b1\\u8fdb\\u884c\\u53cd\\u590d\\u6bd4\\u8f83\\uff0c\\u4ee5\\u4fbf\\u5728\\u7b2c\\u4e00\\u65f6\\u95f4\\u6392\\u9664\\u6389\\u6240\\u6709\\u53ef\\u80fd\\u7684\\u9519\\u8bef\\u3002\\u6700\\u540e\\u4e00\\u4e2a\\u9636\\u6bb5\\u662f\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\u3002\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\uff0c\\u6211\\u4eec\\u5f80\\u5f80\\u5f3a\\u8c03\\u4e00\\u4e2a\\u91cd\\u8981\\u540d\\u8bcd\\uff0c\\u53eb\\u7528\\u5fc3\\u6298\\u53e0\\u3002\\u8fd9\\u91cc\\u7684\\u7528\\u5fc3\\u5df2\\u7ecf\\u4e0d\\u662f\\u5b57\\u9762\\u4e0a\\u7684\\u8ba4\\u771f\\u8fd9\\u4e2a\\u610f\\u601d\\uff0c\\u800c\\u662f\\u6307\\u901a\\u8fc7\\u6211\\u4eec\\u5bf9\\u4e8e\\u5927\\u81ea\\u7136\\u4e2d\\u73ab\\u7470\\u82b1\\u5916\\u578b\\u7684\\u7406\\u89e3\\uff0c\\u501f\\u52a9\\u81ea\\u7136\\u7684\\u66f2\\u7ebf\\u53bb\\u4e0d\\u65ad\\u4fee\\u6b63\\u82b1\\u74e3\\u7684\\u5f62\\u72b6\\uff0c\\u4ee5\\u671f\\u903c\\u8fd1\\u73b0\\u5b9e\\u4e2d\\u7684\\u73ab\\u7470\\u82b1\\u74e3\\u5916\\u5f62\\u3002\\u8bf7\\u6ce8\\u610f\\uff0c\\u5728\\u8fd9\\u4e2a\\u9636\\u6bb5\\u7684\\u6700\\u540e\\u4e00\\u6b65\\uff0c\\u6211\\u4eec\\u9700\\u8981\\u901a\\u8fc7\\u62c9\\u626f\\u5df2\\u7ecf\\u5f2f\\u6298\\u7684\\u56db\\u4e2a\\u82b1\\u74e3\\uff0c\\u6765\\u8c03\\u6574\\u73ab\\u7470\\u82b1\\u4e2d\\u5fc3\\u7684\\u7efd\\u653e\\u7a0b\\u5ea6\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u53ef\\u80fd\\u4f1a\\u4f34\\u968f\\u73ab\\u7470\\u82b1\\u6574\\u4f53\\u7ed3\\u6784\\u7684\\u5d29\\u584c\\uff0c\\u6240\\u4ee5\\uff0c\\u4e00\\u5b9a\\u8981\\u63a7\\u5236\\u597d\\u8c03\\u6574\\u7684\\u529b\\u9053\\uff0c\\u4ee5\\u514d\\u51fa\\u73b0\\u4e0d\\u53ef\\u9006\\u7684\\u540e\\u679c\\u3002\\u6700\\u7ec8\\uff0c\\u7ecf\\u8fc7\\u4e09\\u4e2a\\u9636\\u6bb5\\u7684\\u6298\\u53e0\\uff0c\\u6211\\u4eec\\u4f1a\\u5f97\\u5230\\u4e00\\u652f\\u6829\\u6829\\u5982\\u751f\\u7684\\u73ab\\u7470\\u82b1\\u51a0\\u3002\\u5982\\u679c\\u6761\\u4ef6\\u5141\\u8bb8\\uff0c\\u6211\\u4eec\\u53ef\\u4ee5\\u5728\\u4e00\\u6839\\u62c9\\u76f4\\u7684\\u94c1\\u4e1d\\u4e0a\\u7f20\\u7ed5\\u7eff\\u8272\\u7eb8\\u6761\\uff0c\\u5e76\\u5c06\\u73ab\\u7470\\u82b1\\u51a0\\u63d2\\u5728\\u94c1\\u4e1d\\u7684\\u4e00\\u6bb5\\u3002\\u8fd9\\u6837\\uff0c\\u6211\\u4eec\\u5c31\\u5f97\\u5230\\u4e86\\u4e00\\u652f\\u624b\\u5de5\\u73ab\\u7470\\u82b1\\u3002\\u603b\\u4e4b\\uff0c\\u901a\\u8fc7\\u521b\\u5efa\\u6805\\u683c\\u6298\\u75d5\\uff0c\\u5236\\u4f5c\\u7acb\\u4f53\\u57fa\\u5ea7\\uff0c\\u4ee5\\u53ca\\u5b8c\\u6210\\u82b1\\u74e3\\u4fee\\u9970\\uff0c\\u6211\\u4eec\\u4ece\\u4e8c\\u7ef4\\u7684\\u7eb8\\u9762\\u4e0a\\u521b\\u4f5c\\u51fa\\u4e86\\u4e00\\u652f\\u4e09\\u7ef4\\u7684\\u82b1\\u6735\\u3002\\u8fd9\\u4e2a\\u8fc7\\u7a0b\\u867d\\u7136\\u770b\\u4f3c\\u7b80\\u5355\\uff0c\\u4f46\\u5b83\\u786e\\u5b9e\\u6211\\u4eec\\u4eba\\u7c7b\\u501f\\u52a9\\u60f3\\u8c61\\u529b\\u548c\\u5e38\\u89c1\\u7d20\\u6750\\u800c\\u521b\\u4f5c\\u51fa\\u7684\\u827a\\u672f\\u54c1\\u3002\\u8bf7\\u8d4f\\u6790\\u4ee5\\u4e0a\\u5185\\u5bb9\\u7684\\u7cbe\\u5999\\u4e4b\\u5904\\u3002]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-\\x06]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast-\\n]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-musicgen-small-sp_backend-Fast- \\t\\n]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "failed", @@ -17710,6 +17684,12 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-\\U0001fae0]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-\\U0001f937\\u200d\\u2642\\ufe0f]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-\\x06]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow-\\n]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Slow- \\t\\n]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast-\\u0422\\u0435\\u0441\\u0442\\u043e\\u0432\\u0430\\u044f \\u0441\\u0442\\u0440\\u043e\\u043a\\u0430!]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast-\\u6e2c\\u8a66\\u5b57\\u7b26\\u4e32]": "failed", @@ -17728,6 +17708,12 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast-\\U0001fae0]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast-\\x06]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast-\\n]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-musicgen-small-sp_backend-Fast- \\t\\n]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small-sp_backend-Slow-There is a table, which contains three drawers: left drawer, middle drawer and right drawer; Tom Ethan, Elbert Alex, Jack Johnson, and Mario Thompson all saw a bag of chocolates on the table. Tom Ethan asked Elbert Alex and Jack Johnson to go out, and after that, he put the bag of chocolates in the right drawer in front of Mario Thompson; after Jack Johnson came back, Tom Ethan asked Mario Thompson to go out to find Elbert Alex, and took it from the left drawer in front of Jack Johnson. Then He take out a box of biscuits and put them in the middle drawer; when Elbert Alex and Mario Thompson returned, Tom Ethan asked Jack Johnson and Mario Thompson to go out to buy a bottle of soy sauce. Tom Ethan waited for a long time, and found that Jack Johnson and Mario Thompson had not returned, so he sent Elbert Alex to look for them, but in the end only Jack Johnson and Elbert Alex came back. Jack Johnson told Tom Ethan that at first they could not find any shop that is providing soy sauce, so they had to separate to search other shops, which is why Mario Thompson got lost; on the way back, Jack Johnson ran into Elbert Alex, and they rushed back first. Therefore, Tom Ethan asked them to go out to find Mario Thompson again; in order to prevent getting lost again, Tom Ethan told Elbert Alex and Jack Johnson to walk together at all time, and even if they could not get the soy sauce, they had to find and get back with Mario Thompson. As a result, Elbert Alex and Jack Johnson found Mario Thompson outside and found that he had bought a bottle of soy sauce. The three felt that Tom Ethan never went out to do anthing but they are busy all the time. So they were very angry. They discussed and made a conclusion. After going back to see Tom Ethan, they should not tell him about the soy sauce they bought, and asked Jack Johnson to hide the soy sauce in his backpack. After the three of them came back together, they pretended to claim that they did not foudn and bought soy sauce according to the plan, and hoped that Tom Ethan would go out together to buy things in the future, and he should not be so lazy. Tom Ethan agreed and felt sory about that. When everyone finally stood in front of the table, the four of them wrote down the list of items they knew and the location of the items. So the question is: is the information writen by these four people consistent, and why?]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-musicgen-small-sp_backend-Slow-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "failed", @@ -17741,6 +17727,13 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow- ]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\n]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow- \\t\\n]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\n]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow- \\t\\n]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow- ]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow- ]": "failed", @@ -17758,13 +17751,11 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\x06]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow- ]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow- ]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow- ]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\n]": "failed", - "tokenizers_test.py::test_sentencepiece_model_detokenizer[no_skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow- \\t\\n]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\n]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-no_clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast- \\t\\n]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow- ]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Slow- ]": "failed", @@ -17782,8 +17773,11 @@ "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\U0001f937\\u200d\\u2642\\ufe0f]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\U0001f926\\U0001f3fc\\u200d\\u2642\\ufe0f]": "failed", "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\x06]": "failed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "failed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast- ]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast-\\n]": "failed", + "tokenizers_test.py::test_sentencepiece_model_detokenizer[skip_tokens-clean_spaces-bilingual-gpt-neox-4b-sp_backend-Fast- \\t\\n]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast- ]": "failed", @@ -17791,8 +17785,6 @@ "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast- ]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-\\n]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast- \\t\\n]": "failed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-Multiline\\nstring!\\nWow!]": "failed", - "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-A lot\\t\\tof whitespaces!]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[add_tokens-bilingual-gpt-neox-4b-sp_backend-Fast- ]": "failed", @@ -17872,13 +17864,21 @@ "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-deberta-base-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-bloom-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-bloom-\\n\\n\\n\\t\\t A lot\\t\\tof\\twhitespaces\\n!\\n\\n\\n\\t\\n\\n]": "failed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k- ]": "failed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k- ]": "failed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k- ]": "failed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\n]": "failed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-no_clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k- \\t\\n]": "failed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k- ]": "failed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k- ]": "failed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k- ]": "failed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k-\\n]": "failed", + "tokenizers_test.py::test_bpe_detokenizer[skip_tokens-clean_spaces-CLIP-ViT-bigG-14-laion2B-39B-b160k- \\t\\n]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[no_add_tokens-codegen-16B-multi-A lot\\t w!]": "failed", "tokenizers_test.py::test_hf_bpe_tokenizers_outputs[add_tokens-codegen-16B-multi-A lot\\t w!]": "failed", "tokenizers_test.py::test_bpe_model_tokenizer_chat[no_add_tokens-deepseek-coder-6.7b-instruct-test_chat0]": "failed", "tokenizers_test.py::test_bpe_model_tokenizer_chat[add_tokens-deepseek-coder-6.7b-instruct-test_chat0]": "failed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-no_clean_spaces-glm-4-9b-chat-]": "failed", "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "failed", - "tokenizers_test.py::test_tiktoken_detokenizer[no_skip_tokens-clean_spaces-glm-4-9b-chat-]": "failed", "tokenizers_test.py::test_tiktoken_detokenizer[skip_tokens-clean_spaces-glm-4-9b-chat-The process of Origami seems simple at the first glance, but in fact, it still requires a very complicated process to do it well. Taking folding a rose as an example, we can divide the entire process into three stages, including: firstly creating a grid of creases, secondly making a three-dimensional base, and thirdly finishing petal decoration. The first step is to create a grid of creases: this step is a bit like the first step of folding a gift of thousand-paper-crane. That is to say, we can fold the paper in half (or namedly equal-folds) through the symmetrical axis, and repeat such step in the other symmetrical axis. And then apply multiple equal-folds in sequence relative to each smaller rectangle divided by the two creases; After that, the creases in each direction will interweave into a complete set of uniform small square splicing patterns; these small squares form a reference space similar to a two-dimensional coordinate system, allowing us to combine adjacent creases on the plane from Three-dimensional high platforms or depressions are folded on the two-dimensional small squares to facilitate the next steps of folding. It should be noted that, in the process of creating grid creases, there may be rare cases when the folds are not aligned. The consequences of this error can be very serious. And just like the butterfly effect, it is only a slight difference at the beginning , and in the end it may generate a disaster world which is completely different from plan. Anyway, let's continue. The second step is make the three-dimensional base: In this step, we need to fold a set of symmetrical three-dimensional high platforms or depressions based on the grid creases. From the symmetry analysis, it is not difficult to find that the rose will have four symmetrical three-dimensional high platforms and supporting depressions. Therefore, we can firstly fold out a quarter of the depression and plateau patterns, which would help build a base to compose into a complex 3D structure. And then, we use this quarter as a template, and fold out the repeating patterns on the remaining three parts of the whole structure in turn. It is worth noting that the layout of the high platform not only needs to consider the regular contrast and symmetrical distribution of the length and width, but also needs to ensure the orderliness of the height dimension. This is very important, since we will never go back to this step after all parts were made, and you would better start from first step if you make anything wrong in the this step. Similar to the precautions in the first stage, please handle all the corners in three dimensions to ensure that they conform to the layout required in the plan, which would help us avoid the butterfly effect and increase the robustness in the process of three-dimensional folding. Just like building a skyscrapper in the real world, people usually take a lot of time when building the base but soon get finished when extending the structure after that. Time is worth to cost in the base, but would be saved in the future after you succeed in base. Anyway, let's continue. During the first quarter of the pattern, repeated comparisons with the finished rose were made to eliminate any possible errors in the first place. The final stage is to finish the petal grooming. At this stage, we often emphasize an important term called folding-by-heart. The intention here is no longer literally serious, but focus is moved to our understanding of the shape of a rose in nature, and we usually use natural curves to continuously correct the shape of petals in order to approach the shape of rose petals in reality. One more comment: this is also the cause of randomness to the art, which can be generated differently by different people. Recall that rose should be adjusted close to reality, so in the last step of this stage, we need to open the bloom in the center of the rose, by pulling on the four petals that have been bent. This process may be accompanied by the collapse of the overall structure of the rose, so we should be very careful to save strength of adjustment, and it must be well controlled to avoid irreversible consequences. Ultimately, after three stages of folding, we end up with a crown of rose with a similar shape close to reality. If condition is permited, we can wrap a green paper strip twisted on a straightened iron wire, and insert the rose crown we just created onto one side of the iron wire. In this way, we got a hand-made rose with a green stem. We can also repeat the steps above to increase the number of rose, so that it can be made into a cluster. Different color of rose is usually more attractive and can be considered as a better plan of gift to your friend. In summary, by creating a grid of creases, making a three-dimensional base, and finishing with petals, we created a three-dimensional rose from a two-dimensional paper. Although this process may seem simple, it is indeed a work of art created by us humans with the help of imagination and common materials. At last, Please comment to assess the above content.]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-[INST] <> A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. <> You will act as a Christian, and fully summarize following text:\\nSometimes it's nice to take a minute in the pew by yourself beforehand. You have this beautiful church probably almost all to yourself. Can you feel its energy resonating through you? Can you feel the majesty of the Lord's kingdom and how you're a part of it? Take a moment to kneel and pray with your head down and hands clasped together. Reflect on your faith and how you feel currently. Think about how you've been responding to God's call and how you've been living in the light of his love. When the priest is ready for you, of course. You'll probably see him there by his lonesome or someone else walk out just before you. Sit down either across from him or behind the screen -- it's totally up to you whether or not you prefer to remain anonymous. He won't treat you any differently either way. Make the sign of the cross upon his prompt, saying, \"Bless me, Father, for I have sinned. It has been 10 years since my last confession.\" This is your standard, traditional phrasing. However, if you just sit down and say hello, that's fine, too. The priest knows what he's doing. The Byzantine Rite is a bit different. The priest may sit to your side and put his epitrachelion on your head. He may then also do the Prayer of Absolution. But the idea remains the exact same -- just go wherever he takes you. Once you sit down and you've made the sign of the cross, just sit back and follow the priest's lead. He'll ask you how long it's been since your last confession (if you don't voluntarily offer that information), how you are feeling, maybe how your faith is going, and then ask you what sins you would like to talk about with him and God. It's just a casual conversation! Do not fret. There is absolutely zero pressure on your part. Again, as long as you come there with the intention of leaving with a clean heart, you're more than welcome in the church. There is no wrong way to go about confession! This part is intimidating, but think about it this way: the priest you're talking to has probably heard just about everything before. Whatever you have to say will not blow his mind. So when he asks, start rattling them off, from the most serious to the least. If he asks any questions, answer them, but do not feel the need to go into detail. A simple, \"I did so and so,\" will suffice. Your priest is going to be very understanding. If you don't remember the exact timeframe, that's fine. If you don't remember your motivation, that's fine. All your priest cares about is that you're being as honest as possible and that your heart is in the right place. He'll talk you through everything, possibly asking about your intentions, but mainly just letting you know that God loves you, sin and all. If he has any ideas to bring you closer to God, he may suggest them at this juncture. He's there to help, after all. He will then ask you to make an Act of Contrition. That goes like this: My God, I am sorry for my sins with all my heart.In choosing to do wrong and failing to do good,I have sinned against You whom I should loveabove all things. I firmly intend, with your help,to do penance, to sin no more, andto avoid whatever leads me to sin.Our Savior Jesus Christ suffered and died for us.In his name, my God, have mercy.If you are a Roman Catholic, your act of contrition will go like this: Oh my God, I am very sorry for having offended thee. But most of all, because they offend you, my God, who is all good and deserving of all my love. I firmly resolve with the help of thy grace, to sin no more, and to avoid the near occasion of sin. Amen. Don't worry! It won't be anything huge. Take the absolution to heart -- you now have a brand new, clean slate to work with. \"Penance\" is your expression of regret and repentance, showing God that you're truly sorry and that you wish for nothing more than to be forgiven. Thanks. [/INST]]": "failed", "tokenizers_test.py::test_sentencepiece_model_tokenizer_chat[no_add_tokens-TinyLlama-1.1B-Chat-v1.0-sp_backend-Slow-test_chat0]": "failed",